Question
TABLE 1 TABLE 2 TABLE 3 7,196575941 7,040971168 4,287668 4,153444814 7,192353644 6,006722 4,715830609 6,042236996 11,0551 5,248674135 5,761523046 18,41364 4,278970429 6,987554356 15,9353 1,654762041 7,316752204 10,82002 4,571997811
TABLE 1 | TABLE 2 | TABLE 3 |
7,196575941 | 7,040971168 | 4,287668 |
4,153444814 | 7,192353644 | 6,006722 |
4,715830609 | 6,042236996 | 11,0551 |
5,248674135 | 5,761523046 | 18,41364 |
4,278970429 | 6,987554356 | 15,9353 |
1,654762041 | 7,316752204 | 10,82002 |
4,571997811 | 8,03930326 | 10,44006 |
6,111054461 | 8,333333333 | 11,16363 |
1,695448177 | 7,744131129 | 11,61179 |
2,249904054 | 9,610826993 | 15,06611 |
-0,094037534 | 10,39637481 | 24,87883 |
3,014548966 | 12,10352119 | 10,13395 |
3,790503812 | 13,55669714 | 13,98494 |
6,620585081 | 13,6186653 | 16,52224 |
5,360737419 | 14,68703664 | 11,47756 |
-0,383390769 | 15,54637452 | 16,81518 |
-1,846544477 | 15,29961436 | 17,15232 |
5,09911491 | 14,72998703 | 14,479 |
-1,211483719 | 15,37640427 | 15,14927 |
0,017834778 | 16,77213717 | 17,22452 |
2,100735221 | 19,92096464 | 15,47712 |
4,200132549 | 20,58374198 | 15,6519 |
2,394784159 | 20,14852753 | 14,56777 |
-0,317785676 | 21,56618973 | 12,98156 |
-1,018219873 | 20,63338758 | 9,561052 |
-2,137056889 | 21,66471942 | 10,21348 |
1,233519913 | 21,38916875 | 7,905679 |
3,200001049 | 19,78277267 | 7,987288 |
3,099995418 | 19,09884615 | 7,78699 |
4,299998961 | 16,96836846 | 7,028155 |
2,600002116 | 15,13095929 | 8,796302 |
0,500000905 | 13,67122396 | 7,64186 |
2,399996245 | 12,26352885 | 12,20528 |
4,200003476 | 10,78916014 | 5,793571 |
2,699994567 | 9,44879617 | 6,527026 |
3,700382352 | 8,282659951 | 5,449103 |
2,949079137 | 7,758217946 | 6,255249 |
4,554552745 | 8,309623189 | 8,849399 |
5,277056312 | 8,675759374 | 8,831509 |
5,603797657 | 9,178134139 | 7,504521 |
5,360475891 | 9,745803493 | 6,351038 |
The first column is your dependent variable (Y) and the other two variables are your independent variables (1 and 2). Using multiple OLS, estimate the sample regression equations of the dependent variable and the two independent variables (remember to use the correct dependent variable). Include an output table and comment on any interesting aspects of the results. Interpret your estimate of and (the slope coefficients) and comment on the goodness-of-fit of the estimated equations. Clearly stating the hypothesis, test statistic, critical value and conclusion, test the joint hypothesis that there is a statistically significant relationship between the dependent variable and the two independent variables. Discuss whether the results of the regression equation are in accordance with what you might have expected. How might you improve this research?
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