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1. According to a consumer advocacy group, households that watch more television tend to incur more debt. Your consulting firm is hired to investigate, and you obtain the following sample statistics (40 pts): Debt (y) TV (x) Household Debt in $10005 Hours of Television per Week Mean: 118 28 Variance: 2663 85 Covariance: 196 Observations: 30 (a) Compute the slope and intercept coefficients of the regression line for these data. [b) In a complete and grammatically correct sentence, interpret the slope coefficient. Use proper units in your interpretation. (c) How much debt does a household who watches 33 hours of TV? [d) Find the SSE of the regression line. [e) Find the standard error of the estimate for this regression line. (f) At the 5% significance level, is there enough evidence to conclude that there is a linear relationship between household debt and hours of television? Include the critical statistic for your test. [g) Estimate the slope coefficient with 90% confidence. Report the lower and upper confidence limits In the context of the problem. [h) Compute the R squared value. Use proper units in your interpretation