A model was fit to predict the Calories based on the sugars…

A model was fit to predict the Calories based on the sugars (g/cup) and Company.  There were 3 Companies (G = General Mills, K = Kellogg’s , and Q = Quaker). > summary(mod) Call:lm(formula = Calories ~ Sugars + Company, data = Cereal) Residuals:Min                    1Q            Median           3Q                  Max -39.697        -25.414          -1.459          16.559             55.349 Coefficients:                        Estimate        Std. Error        t value           Pr(>|t|) (Intercept)         85.3035          12.5365          6.804           3.2e-07 ***Sugars                4.3146            0.9556          4.515           0.000121 ***CompanyK          6.6755          11.2324          0.594           0.557443 CompanyQ         5.6221          13.5345          0.415           0.681266 —Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 27.41 on 26 degrees of freedomMultiple R-squared: 0.4442, Adjusted R-squared: 0.3801 F-statistic: 6.926 on 3 and 26 DF, p-value: 0.001405 Based on this output, which company had the HIGHEST  caloric content after Sugars were accounted for?

e-grocers sell groceries over the internet.  Customers enter…

e-grocers sell groceries over the internet.  Customers enter their orders, pay by credit card, and receive delivery by truck.  A potential e-grocer analyzed the market and determined that the average order would have to exceed $85 if the e-grocer were to be profitable.  To determine whether an e-grocery would be profitable in one large city, she offered the service and recorded the size of the order for a random sample of 85 customers.   sample mean = $89.22 sample sd = $17.30 Suppose you ran all the numbers and got a p-value of 0.014, what is your conclusion at the 5% significance level?