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For the 32 starting NFL running backs in 2012, data was collected for their rushing yards, in thousands (1.5 YRDS = 1500 rushing yards), and the number of touchdowns (TDS). A fan is interested if he can effectively predict the number of touchdowns based on the rushing yards and runs a regression model. Variable Parameter Estimate Standard Error t Value P-value Intercept -0.97 1.37 -0.71 0.4811 YRDS 7.31 1.27 ??? ?? ? Construct a 99% confidence interval for B1, the true slope for rushing yards. (Show your work for partial credit)For the 32 starting NFL running backs in 2012, data was collected for their rushing yards, in thousands (1.5 YRDS = 1500 rushing yards), and the number of touchdowns (TDS). A fan is interested if he can effectively predict the number of touchdowns based on the rushing yards and runs a regression model. Variable Parameter Estimate Standard Error t Value P-value Intercept -0.97 1.37 -0.71 0.4811 YRDS 7.31 1.27 ? ? ? ?? ? Conduct a test, with a = 0.01, to determine if there is a significant linear relationship between rushing yards and number of touchdowns. Calculate your test statistic, t = ? (Show your work for partial credit) Give the P-value and state whether you reject or fail to reject Ho. Edit View Insert Format Tools Table