f)Using the information in the regression summary output, conduct a hypothesis testing to conclude whether there is a linear relationship between Total debt and TV hours. Use ? = 0.05

Descriptive Summary Output Television Debt Mean 30.475 Mean 126588.5 Standard Error 0.493 Standard Error 2255.558 Median 30 Median 127332 Mode 30 Mode #N/A Standard Deviation 9.865 Standard Deviation 45111.166 Sample Variance 97.323 Sample Variance 2035017277 Kurtosis -0.462 Kurtosis -0.051 Skewness 0.045 Skewness 0. 162 Range 51 Range 256718 Minimum 6 Minimum 20516 Maximum 57 Maximum 277234 Sum 12190 Sum 50635400 Count 400 Count 400 1st quartile 24 1st quartile 95880.25 2nd quartile 30 2nd quartile 127332 3rd quartile 38 3rd quartile 154040.25SUMMARY OUTPUT Regression Statistics Multiple R 0.5537 R Square 0.3066 Adjusted R Square 0.3048 Standard Error 37612.4061 Observations 400 ANOVA df SS MS F Significance F Regression 2.48924E+11 2.48924E+11 175.9562155 1.64399E-33 Residual 398 5.63048E+11 1414693093 Total 399 8. 11972E+11 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 49430.021 6113.220 8.086 7.51457E-15 37411.783 61448.260 37411.783 61448.260 Television 2531.861 190.870 13.265 1.64399E-33 2156.622 2907.101 2156.622 2907.101