Thursday, April 25, 2019
Statistics 401 Mod 4 SLP - Regression Analysis Coursework
Statistics 401 Mod 4 SLP - Regression Analysis - Coursework ExampleThe points so formed when the variable quantity determine of SAL are plotted against the variable determine of the DJIA would buzz off a line of best fit which rear be attached to a specific mathematical formula. The mathematical formulae might be linear, exponential, logarithmic, polynomial, moving total and the like. By making use of this formulae, it would be possible to make predictions of former(a) values of the variable SAL and the variable values of the DJIA given the corresponding variable values. Below is a copy of the data that I have collected to date- SEX AGE SAL(K) DJIA 1 39 23 14 2 29 33 16 2 18 32 16 1 21 54 12 1 50 48 18 2 49 37 16 1 62 70 15 2 23 23 12 1 20 36 13 1 30 35 14 2 32 21 11 1 48 55 16 This data forms a regression pattern and indeed can be utilise for the prediction of a corresponding element of the data given one. My stocks death price can be intractable from the closing value of t he DJIA. The null hypothesis of this distribution is that My stocks closing price cannot be determined from the closing value of the DJIA. It is usually a statement in negation form which this one is precisely. On the other hand, the alternative hypothesis is that My stocks closing price can be determined from the closing value of the DJIA. ... In the otherwise case, then the null hypothesis is not right and the alternative hypothesis is taken as the right resolution. I computed a simple regression using the values of the SAL variables as the Y- value and the values of the DJIA variables as the X- values. By so doing, I found the regression results as shown in the screen nearsighted below. As can be seen from the results, their indeed is a very slight relationship between My stocks closing price and the closing value of the DJIA. The p-value from the results is very large as it is 2.8. this p- value is much larger than the delicious value of 0.5. It establishes that indeed the nul l hypothesis is true. In that regard, I can comfortably say that to near great extent, My stocks closing price cannot be determined from the closing value of the DJIA. This implies that other mechanisms have to be employed in an effort to establish my stocks closing price. REFERENCES Soper, H.E., Young, A.W., Cave, B.M., Lee, A., Pearson, K. (1917). On the distribution of the correlation coefficient in infinitesimal samples. Appendix II to the papers of Student and R. A. Fisher. A co-operative study, Biometrika, 11, 328-413.
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