Forecasting †Simple Linear Regression Applications Free Essays

Insights FOR MGT DECISIONS FINAL EXAMINATION Forecasting †Simple Linear Regression Applications Interpretation and Use of Computer Output (Results) NAME SECTION A †REGRESSION ANALYSIS AND FORECASTING 1) The administration of a worldwide lodging network is assessing the potential destinations for another unit on a sea shore resort. As a feature of the investigation, the administration is keen on assessing the connection between the separation of an inn from the sea shore and the hotel’s normal inhabitance rate for the season. An example of 14 existing lodgings in the zone is picked, and every inn reports its normal inhabitance rate. We will compose a custom exposition test on Determining †Simple Linear Regression Applications or on the other hand any comparative theme just for you Request Now The administration records the hotel’s separation (in miles) from the sea shore. The accompanying arrangement of information is acquired: Distance (miles)0. 10. 10. 20. 30. 40. 40. 50. 60. 7 Occupancy (%)929596908996908385 Continue Distance (miles)0. 70. 80. 80. 90. 9 Occupancy (%)8078767275 Use the PC yield to react to the accompanying inquiries: an) A basic straight relapse was ran with the inhabitance rate as the ward (clarified) variable and good ways from the sea shore as the free (clarifying) variable Occpnc=b[pic]+b[pic](Distncy) What is the evaluated relapse condition? The relapse model is: Occpnc = b[pic] + b[pic](Distncy) The evaluated relapse condition is: OCCUPNC = 99. 61444 †26. 703 DISTNCY b) Interpret the importance behind the qualities you get for the two coefficients b[pic] and b[pic]. b[pic]=99. 61444, speak to the y-capture just as the beginning figure for the separation inclusion. This is the measure of separation in miles that the inn is from a sea shore. b[pic] = 26. 703, speaks to the level of inhabitance a lodging has relying upon the separation of the inn from a sea shore. c) What kind of relationship exists between normal inn inhabitance rate and the hotel’s good ways from the sea shore? Does this relationship sound good to you? Why or why not? Both separation and inhabitance have an immediate relationship. This is genuine in light of the fact that closer the inn is to the sea shore, the higher the possibility that the hotel’s inhabitance will be more noteworthy. On the off chance that an individual is going to remain at an inn, odds are they are on an extended get-away. Individuals in the midst of a get-away love to invest energy in a sea shore for unwinding purposes, so it would just bode well that a lodging that is nearer to the sea shore will have a higher inhabitance rate. d) Interpret the R-Square an incentive in your PC yield R-Squared = 0. 848195 = 84. 8195 ) Predict the normal inhabitance rate for an inn that is (I) one mile from the sea shore here, (ii) one and half miles from the sea shore. I. OCCUPNC = 99. 61444 †26. 703 (1) = 99. 61444 †26. 703 = 72. 911 ii. OCCUPNC = 99. 61444 †26. 703 (1. 5) = 99. 61444 †40. 055 = 59. 559 f) In your psyche, what different factors contribute decidedly or contrarily to lodging inhabitance other than good ways from the sea shore? Different factors that contribute decidedly or adversely to inn inhabitance other than good ways from the sea shore incorporate the separation of eateries, strip malls, and air terminal from the inn. The closer postulations factors are to the lodging the odds the inhabitance rate will be higher. What's more, different factors may incorporate what sort of courtesies that are offered by the inn, client assistance, and rating of the inn. g) At a degree of importance, ? = 0. 01 or 1 percent test the accompanying pair of speculations: H[pic]: b[pic]= 0 H[pic]: b[pic]? 0 On the model: Occpnc=b[pic]+b[pic](Distncy) What is your decision and why that specific end? PC OUTPUT †PART 1 INTERNATIONAL HOTEL REGRESSION FUNCTION ANOVA FOR OCCPNCY = 99. 61444 †26. 703 DISTANCE R-Squared = 0. 848195 Adjusted R-Squared = 0. 835545 Standard mistake of gauge = 3. 339362 Number of cases utilized = 14 Analysis of Variance p-esteem Source SS df MS F Value Sig Prob Regression 747. 68 1 747. 68390 67. 04880 0. 000002 Residual 133. 82 12 11. 15134 Total 881. 50 13 COMPUTER OUTPUT †PART 1 INTERNATIONAL HOTEL REGRESSION COEFFICIENTS FOR OCCPNCY Two-Sided p-esteem Variable Coefficient Std Error t Value Sig Prob Constant 99. 61444 1. 4107 51. 31933 0. 000000 DISTANCE - 26. 70300 3. 26110 - 8. 18833 0. 000002 * Standard blunder of gauge = 3. 339362 Durbin-Watson measurement = 1. 324282 MULTIPLE REGRESSION 2) You need to discover factors that clarify an individual’s week after week reserve funds. You are given a lot of information beneath: Sampled WeeklyHouseFoodEntertain/Weekly IndividualIncomeRentExpenseExpenseSavings Case 1$25085952520 Case 2$1907590100 Case 3$4201401204050 Case 4$340120130040 Case 5$2801101003015 Case 6$310801252525 Case 7$5201501405580 Ca se 8$440175155450 Case 9$36090852095 Case 10$3851051353530 Case 11$2058010505 Case 12$26565951515 Case 13$19550801020 Case 14$25090100250 Case 15$4801401604545 A various relapse was ran with WEEKLY SAVINGS as the DEPENDENT VARIABLE and the rest as the INDEPENDENT VARIABLES. Investment funds = b[pic][pic]+ b[pic]INCOME + b[pic]RENT + b[pic]FOOD + b[pic]ENTERT a) What is the assessed different relapse condition? Investment funds = 23. 14156 + 0. 591446 INCOME †0. 341793 RENT †1. 119734 FOOD †0. 907868 ENTERT b) What relationship exists between (I) SAVINGS and INCOME? , SAVINGS and RENT? , SAVINGS and FOOD cost, SAVINGS and ENTERTAINMENT cost? There are no immediate connection among sparing and salary, reserve funds and lease, investment funds and food cost, and reserve funds and amusement cost. c) Which of the free (clarifying) factors are (is) noteworthy in the different relapse and which ones are (isn't) critical (use ? = 0. 05 degree of importance). Are the outcomes in accordance with Maslow progression of requirements? Clarify. PC OUTPUT PART I WEEKLY SAVINGS REGRESSION FUNCTION ANOVA FOR SAVINGS = 23. 14156 + 0. 591446 INCOME †0. 341793 RENT †1. 119734 FOOD †0. 907868 ENTERT R-Squared = 0. 917562 Adjusted R-Squared = 0. 70454 Standard blunder of gauge = 10. 9635 Number of cases utilized = 12 Analysis of Variance p-esteem Source SS df MS F Value Sig Prob Regression 9364. 86 4 2341. 21 19. 47795 0. 000677 Residual 841. 39 7 120. 198 Total 10206. 250 11 COMPUTER OUTPUT PART II WEEKLY SAVINGS REGRESSION COEFFICIENTS FOR SAVINGS Two-Sidedp-esteem Variable Coefficient Std Error t Value Sig Prob Constant 23. 14156 18. 34071 1. 26176 0. 247451 INCOME 0. 59145 0. 07388 8. 00526 0. 000091 RENT - 0. 4179 0. 19849 - 1. 72199 0. 128743 * FOOD - 1. 11973 0. 24633 - 4. 54565 0. 002650 ENTERT - 0. 90787 0. 32460 - 2. 79689 0. 026643 * demonstrates that the variable is set apart for leaving Standard blunder of gauge = 10. 9635 Durbin-Watson measurement = 1. 683103 3) REGRESSION ANALYSIS A specialist is attempting to appraise the connection between the cost of good X and the deals of good Y of specific gatherings of staples. Tests in comparable urban communities all through the nation have yielded the information beneath: PRICE (X)SALES (Y) $2010,300 $259,100 $308,200 $356,500 $405,100 $502,300 A basic direct relapse of a model SALES(Y) = b[pic] + b[pic]PRICE(X) Was run and the PC yield is demonstrated as follows: PRICE OF X/SALES OF Y REGRESSION FUNCTION ANOVA FOR SALES(Y) SALES(Y) = 15907. 14 †269. 7143 PRICE(X) R-Squared = 0. 994999 Adjusted R-Squared = 0. 993749 Standard mistake of gauge = 230. 9143 Number of cases utilized = 6 Analysis of Variance p-esteem Source SS df MS F Value Sig Prob Regression 4. 24350E+07 1 4. 24350E+07 795. 83480 0. 000009 Residual 213285. 70000 4 53321. 43000 Total 4. 26483E+07 5 Cost OF X/SALES OF Y REGRESSION COEFFICIENTS FOR SALES(Y) Two-Sidedp-esteem Variable Coefficient Std Error t Value Sig Prob Constant 15907. 14000 332. 34250 47. 86370 0. 000001 PRICE(X) - 269. 71430 9. 56076 - 28. 21054 0. 000009 * Standard mistake of gauge = 230. 9143 Durbin-Watson measurement = 1. 687953 QUESTIONS a) What is the evaluated condition of the model: SALES(Y) = b[pic] + b[pic]PRICE(X)? SALES(Y) = 15907. 14 †269. 7143 PRICE(X) b) What kind of relationship exists between SALES OF Y and the PRICE OF X? Does this relationship bode well? Why or why not? There is an immediate connection between Sales of Y and the Price of X. The lower the value the higher are the deals. This bodes well in such a case that the cost is lower, an individual will buy more things. c) What would you be able to state about GOOD Y and GOOD X (a decent can be a thing, an item, and so on ). Name a couple of good X and great y that can show this sort of relationship. Assume the cost of sweets is $0. 50/lb, the deals of the candy versus a similar sort of treats that is $0. 80/lb would yield more deals in view of the cost. The cost of the candy legitimately influences deals in this occasion in light of the fact that an individual would purchase more candy at $0. 0/lb versus $0. 80/lb. 4) REGRESSION ANALYSIS A businessman is attempting to evaluate the connection between the cost of good X and the deals of good Z of specific gatherings of staples. Tests in comparable urban areas all through the nation have yielded the information underneath: PRICE (X)SALES (Z) $153 300 $203900 $254750 $305500 $406550 $507250 A straightforward direct relapse of a model SALES (Z) = b[pic] + b[pic]PRICE(X) Was run and the PC yield is demonstrated as follows: PRICE OF X/SALES OF Z REGRESSION FUNCTION ANOVA FOR SALES(Y) SALES(Z) = 1740. 686 + 115. 5882 PRICE(X) R-Squared = 0. 977573 Adjusted R-Squared = 0. 71966 Standard mistake of gauge = 255. 2152 Number of cases utilized = 6 Analysis of Variance p-esteem Source SS df MS F Value Sig Prob Regression 1. 13565E+07 1. 13565E+07 174. 35450 0. 000190 Residual 260539. 20000 4 65134. 80000 Total 1. 16171E+07 5 PRICE OF X/SALES OF Z REGRESSION COEFFICIENTS FOR SALES(Z) p-esteem Variable Coefficient Std Error t Value Sig Prob Constant 1740. 68600 282. 52800 6. 16111 0. 003522 PRICE(X) 115. 58820 8. 75381 13. 20434 0. 000190 * Standard mistake of gauge = 255. 2152

Raise In Red Lantern :: essays research papers

In  ¡Ã‚ §Raise the Red Lantern⠡â ¨, the representative ramifications of the genealogical special stepped area in the focal meeting room go past the family dividers, since it shows the pictures of all the amazing officals in the Chen family, therefore proposing the whole male centric custom and its political power.â â â â â  â â â â      In  ¡Ã‚ §Raise the Red Lantern⠡â ¨, the red lamp, a developed symbol here (and one blamed for being a phony social signifier utilized just for hair-raising reasons for existing), is the film⠡â ¦s focal image and most significant analogy. The shading red is an image of sexuality and suggestion, yet no longer of enthusiasm. All the more significantly, it ends up being related with man centric and political force. To get the lamp lit alludes to the triumph of one lady over all the others, and yet it despite everything speaks to disappointment for all the ladies in light of the fact that the lady who picks up the lit light should be completely uncovered, under the red light, before the look and heavily influenced by the man. The shading red here stays an image of blood and demise, as in the passing scenes of both the hireling Yan⠡â ¦er and the third spouse, who set out to ignore the principles.      The sound of the foot kneads in Raise the Red Lantern echoes very well the musicality of strain, fixation, and want in the day by day life of Chen⠡â ¦s family. It is by all accounts the main promising and animating sound for the spouses in that destructive calm manor. Besides, this sound is regularly corresponding to, or blended in with that of the strides of the ace when he approaches the chose wife⠡â ¦s room. This sound, at that point, makes a transitory dream for the lady, who thinks she is going to win the man.

More Doonesbury

More Doonesbury My previous post about Alex Dooneburys college choice was linked from the MIT homepage yesterday, the final day of voting. According to the site, the online voters will make the final choice, which will be honored in the strip. The strip has not yet run, but as of 12:58am this morning, here were the results, with nearly 170,000 votes recorded: 48% MIT 32% RPI 19% Cornell My sources tell me that at least two of the three schools (and quite possibly all three schools) involved had students who wrote scripts (computer programs) to stuff the ballot box. It crashed the server at some point last week, and when it came back up, the folks at doonesbury.com shut down voting access for those in the mit.edu domain (and, I might guess, those on rpi.edu and cornell.edu). Relatedly, two recent physics-related strips generated a little bit of controversy on campus: The rigorous freshman physics class 8.022 (also known as Electricity and Magnetism for Masochists) had an official response to the question, which was forwarded on to me by the awesome Nick 09: Alex isnt explaining the problem very clearly. Its about the equivalence between Thevenin and Norton circuits. One can turn any two-terminal circuit that consists of emfs and resistors into: an emf plus a resistor in series (Thevenin), or a current source plus a resistor in parallel (Norton). They are electrically identical. When nothing is connected to their terminals, however, the resistor in the Norton circuit consumes power while the one in the Thevenin circuit doesnt. So the Norton circuit must be warmer than the Thevenin circuit. Clever, huh? PS: the instructors Alex talked to were NOT 8.022 instructors And on the MIT LiveJournal community: The whole point of the Thevenin/Norton thing is making the assumption that they are IDEAL current/voltage sources. As such, they arent generating heat anyway. (and the resistor in a source like that isnt really even a resistorits a resistance, yes, but its ideal, just like the source is; and generates no heat). Those are circuit *approximations*. There is no such thing as an actual black box containing an exact Thevenin or Norton circuit. and later on LJ: Also, the answer assumes that all of the components inside the box have a linear current/voltage dependence. Without that, the Thevenin/Norton thing doesnt even make sense. Anyway, it will be interesting what Garry Trudeau does with the next four-plus years of the MIT setting (assuming he abides by the poll results).

William Butler Yeats The Great Irish Poet & Playwright

William Butler Yeats was both poet and playwright, a towering figure in 20th-century literature in English, winner of the Nobel Prize for Literature in 1923, a master of traditional verse forms and at the same time an idol of the modernist poets who followed him. Childhood William Butler Yeats was born into a wealthy, artistic Anglo-Irish family in Dublin in 1865. His father, John Butler Yeats, was educated as an attorney but abandoned the law to become a well-known portrait painter. It was his father’s career as an artist that took the family to London for four years during Yeats’ boyhood. His mother, Susan Mary Pollexfen, was from Sligo, where Yeats spent summers in childhood and later made his home. It was she who introduced William to the Irish folktales which permeated his early poetry. When the family returned to Ireland, Yeats attended high school and later art school in Dublin. A Young Poet Yeats was always interested in mystical theories and images, the supernatural, the esoteric and the occult. As a young man, he studied the works of  William Blake and Emanuel Swedenborg and was a member of the Theosophical Society and Golden Dawn. But his early poetry was modeled on Shelley and Spenser (e.g., his first published poem, â€Å"The Isle of Statues,† in The Dublin University Review) and drew on Irish folklore and mythology (as in his first full-length collection, The Wanderings of Oisin and Other Poems, 1889). After his family returned to London in 1887, Yeats founded the Rhymer’s Club with Ernest Rhys. Maud Gonne In 1889 Yeats met Irish nationalist and actress Maud Gonne, the great love of his life. She was committed to the political struggle for Irish independence; he was devoted to the revival of Irish heritage and cultural identity—but through her influence, he did become involved in politics and joined the Irish Republican Brotherhood. He proposed to Maud several times, but she never consented and ended up marrying Major John MacBride, a Republican activist who was executed for his role in the 1916 Easter Rising. Yeats wrote many poems and several plays for Gonne—she earned great acclaim in his Cathleen ni Houlihan. The Irish Literary Revival and the Abbey Theatre With Lady Gregory and others, Yeats was a founder of the Irish Literary Theatre, which sought to revive Celtic dramatic literature. This project lasted only a couple of years, but Yeats was soon joined by J.M. Synge in the Irish National Theatre, which moved into its permanent home at the Abbey Theatre in 1904. Yeats served as its director for some time and to this day, it plays an active role in launching the careers of new Irish writers and playwrights. Ezra Pound In 1913, Yeats became acquainted with  Ezra Pound, an American poet 20 years his junior who had come to London to meet him, because he considered Yeats the only contemporary poet worth studying. Pound served as his secretary for several years, causing a ruckus when he sent several of Yeats’ poems to be published in Poetry magazine with his own edited changes and without Yeats’ approval. Pound also introduced Yeats to the Japanese Noh drama, on which he modeled several plays. Mysticism Marriage At 51, determined to marry and have children, Yeats finally gave up on Maud Gonne and proposed to Georgie Hyde-Lees, a woman half his age whom he knew from his esoteric explorations. In spite of the age difference and his long unrequited love for another, it turned out to be a successful marriage and they had two children. For many years, Yeats and his wife collaborated in a process of automatic writing, in which she contacted various spirit guides and with their help, Yeats constructed the philosophical theory of history contained in A Vision, published in 1925. Later Life Immediately after the formation of the Irish Free State in 1922, Yeats was appointed to its first Senate, where he served for two terms. In 1923 Yeats was awarded the Nobel Prize in Literature. It is generally agreed that he is one of a very few Nobel laureates who produced his best work after receiving the Prize. In the last years of his life, Yeats’ poems became more personal and his politics more conservative. He founded the Irish Academy of Letters in 1932 and continued to write quite prolifically. Yeats died in France in 1939; after World War II his body was moved to Drumcliffe, County Sligo.

Determining The Accuracy And Precision Of My Results

Aims The objective of this investigation is to disprove the following set of hypotheses provided in the Task brief where they were collected from Moon Misconceptions (2013): 1. The Moon is only visible at night. 2. The same half of the Moon is in darkness all the time – i.e. there is a dark side of the Moon. 3. The Moon goes around the Earth in a single day. 4. Phases of the moon are caused by a shadow from the Earth, clouds, or the Earth’s or Moon’s rotation. 5. The Moon is magnified when it is close to the horizon. Methods For each of my observations I will note specific information required to disprove each hypothesis. Also, I am going to record my location and attempt to make my observations from the same place for consistency and†¦show more content†¦waxing crescent, half-full, etc.) not a direct measurement of the illuminated percentage. My main quantitative measurements are of the azimuth and altitude. As such I will take precautions to reduce the error in these records. When recording the azimuth I am going to find a terrestrial object (e.g. a tree, chimney, pole, etc.) that is vertically aligned with the Moon relative to my position by holding a ruler oriented vertically and collinear with my eyes and the Moon. I will then be able to take the compass bearing of this terrestrial object which will be more accurate than attempting to line up a compass with the Moon, especially when it is at higher altitudes. Attempting to hold the protractor level for the altitude measurements will introduce uncertainty. Levelling the protractor will be done by sight and as such may produce a large uncertainty. To determine the amount of error introduced I will compare my records with those shown in the planetarium software, TheSkyX First Light Edition ((version 10.0.2) 2008)). Figure 1: Drawing of method for measuring angle of elevation, ÃŽ ¸, the altitude of the Moon. Lastly I will estimate the error in measuring the relative diameter of the Moon by analysing the limit of reading of the scale on the ruler I use and the difficulty I experience in reading it at arm’s length. Results Table 2: Observational results. Estimated position of the Sun, cloud cover, altitude, azimuth, relative diameter, phase, and surface sketch of

President Obama s Gun Control Plan - 949 Words

Have you ever been watching a news channel, and realize how many awful violent crimes that are committed in our country each day involving the use of a gun or firearm? It has come to the time when our country really needs a change to keep our children safe and to prevent violent acts involving guns at a minimum. To accomplish this goal President Obama has constructed a plan to reduce gun violence and that plan includes requiring criminal background checks on all gun purchases, illegalizing military style assault weapons and high-capacity magazines, making our schools safer and increasing access to mental health services. Although this will not stop the violence it will be a start to less violent country in the future. First to be discussed on President Obama’s gun control plan is to require anyone wanting to purchase a gun to comply with a National Background Check System created by Brady Act. Why? You may want to ask must we require a background check for all gun sales. The a nswer is while most people wanting to purchase a gun will be responsible with it while they enjoy hunting or shooting as a sport and while others want a gun for personal protection, however, there are people in this country that don’t need a gun or is prohibited from having a gun either because they have a mental illness that makes having a gun unsafe or they have been convicted of a felony or domestic violence either way want people in control of a gun to use it responsibly and not used it forShow MoreRelatedPresident Obama s 2015 Executive Actions On Gun Control1242 Words   |  5 PagesNeutral: Frederick, Susan P. President Obama s 2015 Executive Actions on Gun Control. National Conference of State Legislatures. 5 Jan. 2016. Web. 09 Jan. 2016. President Obama s 2015 Executive Actions on Gun Control. Susan Frederick is the senior federal affairs counsel at National Conference of State Legislatures. 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Many people have a question if guns are really a machine that help to protect themselves from emergency situation according to the Second Amendment, which states: A well-regulated militia, being necessary to the security of a free State, the right of the people to keep and bear Arms, shall not be infringed, or if guns are the dangerousRead MoreAgenda Setting : Missouri Gun Control1682 Words   |  7 Pages Agenda Setting: Missouri Gun Control Peyton Flewelling University of Missouri at Columbia Agenda Setting: Missouri Gun Control The efforts of gun control advocates have been undermined largely by the persistent presence of those arguing the 2nd Amendment protects their Constitutional right to bear the majority of arms in almost every setting. This has occurred despite an ever-changing social climate, where gun violence occurs daily. 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Personal Writing

Personal Writing- Non Fiction Essay Mrs stokes is talking to herself during the evening about her feelings. She is feeling upset and jealous with Albert and is feeling sorry for herself for the way in which she treated Albert like.  MOTHER: What shall I do now Albert has left? I feel really lonely and scared in the house myself. Where will my son have gone? Why couldnt he have stayed in for once? Is it because I am a selfish and mean mother? Albert does not listen to me. Why is this? (Thinks to herself) (Crying) I have been very overprotective and loving to him and should have been sensible and mature. How could I have said so many terrible things about my Father? (She feels worried inside her stomach) It was my duty as Alberts mother to talk to him in a good manner. However, why didnt I do this? Is because I was a silly and an unrepectful mother. Its so mean and horrible what I have done and treated like Albert like. Nevertheless, I regret treating Albert like a child. He is a young adult. How could I have done such a terrible thing to him? I am going to hate myself for doing this to him if he does not forgive me. Why was I so jealous of him? It was not any of mine business what he does and who he goes out with. (Stressfully and sighs her hands over her head) How could I have been mean about Alberts father and said upsetting and terrible things? During the evening Mrs. stokes is talking to herself about her feelings. Mrs stokes then of  all a sudden starts to talk to herself about her past. She is upset on that evening because of all the things she said to Albert and Mr stokes in the past.  MOTHER: How could I have been so silly to Mr. stokes? I was such a selfish wife. Why was I so rude at him at the time I was alive? How could I have been so hard on him? (Crying) Probably my husband in heaven now with all his past people. Now I am living alone without a husband and my 28 year old son probably hates me because I have probably ruined his life. Mrs stokes has a terrible headache and is feeling sick. She takes a pain killer from the kitchen cabinet and falls asleep  Albert arrives to his local pub where he is meeting Leane his girlfriend. He was to arrive at the pub at 6.30pm but he is an hour late.  ALBERT: Is that all you can say.  Then Mrs stokes starts to confuse Leane.  MUM: Why am I making you upset and sad? Now you no how I feel.  LEANE: No not really me and Albert are leaving today. Mrs stokes go all quiet all of a sudden. When Mrs stokes go quiet Leane and Albert tell her that they are leaving. They are going to Leanes flat.  ALBERT: We are leaving now and going to Leanes flat across the city.  LEANE: Bye Mrs Stokes.  After Albert and Leane leave Mrs Stokes, she feels upset and lonely and starts to talk to herself again.  MOTHER: Why has my son left me? I am a lonely, selfish woman now. My son might not even give me an invitation to the wedding due to the way I carried on at him. I really feel like killing myself.  Mrs stokes is feeling mad in a terrible mess. Due to her feeling in a mad mood she go the to medicines wardrobe in the kitchen and takes a few pills and take a glass of water and swallows them all at once. After she does this, she is feeling sick and ill and she is feeling cold. Then after three hour later Mrs stokes is feeling and she is going to dye.