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1,interpret the estimate of B0,the y intercept of the line2,the estimated change in mean salary (in thousands of dollars) as a result of spending an

1,interpret the estimate of B0,the y intercept of the line2,the estimated change in mean salary (in thousands of dollars) as a result of spending an extra hour per day studying is?3,interpret the 95% confidence interval for B14,Approximately ____is % of the total variation in starting salary can be explicitly by the numbers of hours spent studying per day.

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Table 6 It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown Regression Statistics Multiple R 0.8857 R Square 0.7845 Adjusted R Square 0.7801 Standard Error 1 3704 Observations 51 ANOVA dr SS ASS F Significance F Regression 1 335 0472 335.0473 178 3859 Residual 1.8782 Total 50 427.0798 Standard Coefficients Error i Stat P-value Lower 959% Upper 95% Intercept -1.8940 04018 -4.7134 0 0000 -2.7015 -1.0865 Hours 0.9795 0.0733 13.3561 0 0000 0.8321 1.1269 Note: 2.051E - 05 = 2051 * 10-05 and 5.944E - 18 = 5 944 * 10-18

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