Using the 420 observations of the California School data set from your textbook, you estimate the following relationship:

Estimated(TestScore) = 681.44 - 0.61(LchPct) _{n=420, R² = 0.75, SER=9.45}

where "TestScore" is the score results of the test and "LchPct" is the percentage of students eligible for subsidized lunch (average = 44.7, max = 100, min = 0). a) Interpret the regression results (both coefficients and also measurements of fit). b) In your interpretation of the slope coefficients in part (a) above, does it matter if you start your explanation with "for every x percentage increase" rather than "for every x percentage point increase"? Explain. c) The "overall" regression F-statistic is 1149.57. What are the degrees of freedom for this statistic (degrees of freedom in numerator and in denominator, respectively)? d) Using the above information, test the null hypothesis that the regression R²= 0.