Q11-Q13 please (Q10 is an example)

Step 3: Decision rule: Reject HO if F > F(a,df1=k, df 2=n-k-1) Compute critical value in R: Compute p-value in R: Step 4: Conclusion.Q12: Is the relationship between sales and temperature negative? Step 1: Summarize the hypotheses Step 2: Calculate the test statistic Step 3: Decision rule: Reject HO if t F) Temp 1 8. 0515e+11 8. 0515e+11 6. 2925 0.01819 * Residuals 28 3. 5827e+12 1. 2795e+11 Signif. codes: 0 '***' 0.001 '* *' 0.01 '*' 0.05 ' .' 0.1 ' ' 1 Step 1: H0: $1 = 0 (The model is due to chance) Ha: B1 0 (The model is reliable) Step 2: Form your test statistic: MSR R2 / k F = MSE (1 - R2) / (n - k - 1) F(dfi , df2) p-value a 6.293 1: F is always positive 2: F has two parameters: df1=k and df2=n-k-1 3: F is not symmetric, but right skewed. 0.1835/1 F = - (1 - 0.1835)/(30 -1 -1) = 6.293Step 3: Decision rule: Compute critical value in R: Compute p-value in R: Step 4: Conclusion:Q11: Are weekly sales at Walmart affected by weather conditions? Computer output: Coefficients : Estimate Std. Error t value Pr(>|t|) (Intercept) 1905541 249544 7. 636 2. 56e-08 * * * Temp -9245 3686 -2. 508 0. 0182 * Signif. codes: 0 '* * *' 0.001 '* *' 0.01 '*' 0.05 ' . ' 0.1 '' : Step 1: Summarize the hypotheses Step 2: Calculate the test statistic Step 3: Decision rule: Compute critical value in R: Compute p-value in R: Step 4: ConclusionQ13: Is the relationship between sales and temperature at most -9500? Step 1: Summarize the hypotheses Step 2: Calculate the test statistic