This is a linear regression class.

You are passionately interested in the relationship between the number of Taco Bell hot sauce packets used (X) and the number of bathroom uses in a day (Y).

Based on the following summary table from R, perform the following hypothesis test using a = 10 %. Ho : Bsauce = 2 vs Ha : Bsauce # 2 What is the p-value associated with the test for the slope? Call: 1m(formula = bathroom ~ sauce_packets) Residuals: Min 1Q Median 3Q Max -26.4755 -7.4388 0. 4392 7.5295 21.9763 Coefficients: Estimate Std. Error t value pr(>|t|) (Intercept) 2 . 426 1. 089 2.227 0. 0282 sauce_packets 2.379 1. 004 2.369 0. 0198 # Signif. codes: 0 ' *#*' 0.001 '#*' 0.01 '#' 0.05 '.' 0.1 ''1 Residual standard error: 10.88 on 98 degrees of freedom Multiple R-squared: 0.05417, Adjusted R-squared: 0.04452 F-statistic: 5.613 on 1 and 98 DF, p-value: 0.01979