SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.984968 | |||||||
R Square | 0.970161 | |||||||
Adjusted R Square | 0.960215 | |||||||
Standard Error | 2.037057 | |||||||
Observations | 5 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 404.7512 | 404.7512 | 97.53977 | 0.002207 | |||
Residual | 3 | 12.44881 | 4.149602 | |||||
Total | 4 | 417.2 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 5.423208 | 1.231009 | 4.405498 | 0.021691 | 1.505588 | 9.340829 | 1.505588 | 9.340829 |
X Variable 1 | 1.858362 | 0.188165 | 9.876222 | 0.002207 | 1.259536 | 2.457188 | 1.259536 | 2.457188 |
For x = 4,
For x = 8,
(267 points) Find the least-squares regression line û = bo + b1x through the points (-3,0),(2,8),...
(3 points) Find the least-squares regression line û = bo + b1x through the points (-1,2), (1,7), (6, 13), (9, 19), (10,26), and then use it to find point estimates ŷ corresponding to x = 5 and x = 9. For x = 5, û = For x = 9, û =
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(2 points) Find the least-squares regression line y = bo +b x through the points (-2,0), (2,9), (6, 13), (8, 20), (10,27). For what value of x is 9 = 0?
Ch2 Sec4: Problem 1 Previous Problem List Next (1 point) Find the least-squares regression line y bo + bix through the points (-3,2), (3,9), 6. 15),9,. 18), (12,23), and then use it to find point estimates y corresponding to x = 2 and x = 9. For x -2, y- For x = 9.9= Note: In order to get credit for this problem all answers must be correct. Submlt Answens Preview My Answers You have attempted this problem 0 times....
(1 point) Find the least-squares regression line ý = b + b 2 through the points (-2,0), (1,7), (6, 15), (7, 20), (9, 24). For what value of I is ŷ = 0?
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