Shown below are data on per capita personal consumption, paper consumption, fish consumption, and gasoline consumption for 11 countries. Use the data to develop a multiple regression model to predict per capita personal consumption by the consumption of paper, fish, and gasoline. Discuss the output and pay particular attention to the F test and the t tests.

Country

Per Capita Personal Consumption (U.S. $)

Paper Consumption (kilograms per person)

Fish Consumption (kilograms per person)

Gasoline Consumption (liters per person)

Bangladesh	836	1	10	2
Greece	3,145	85	24	394
Italy	21,785	204	22	368
Japan	37,931	250	64	447
Kenya	276	4	5	16
Norway	1,913	156	51	477
Philippines	2,195	19	30	43
Portugal	3,154	116	60	257
U.K.	19,539	207	20	460
U.S.	109,521	308	21	1,624
Venezuela	622	27	18	528

*(Round your answers to 2 decimal places, e.g. 1.75.) **(Round your answers to 4 decimal places, e.g. 1.7589.) ***(Round your answers to 3 decimal places, e.g. 1.757.) The regression model is: Per Capita Prsonal Consumption = *+ * Paper Consumption - * Fish Consumption + *Gasoline Consumption. This model yields an F = *with p-value = **. Thus, there is overall significance at = .01. One of the three predictors is significant. Gasoline Consumption has a t = 2.66 with p-value of ***which is statistically significant at = .05. The p-values of the t statistics for the other two predictors are insignificant indicating that a model with just Gasoline Consumption as a single predictor might bemight not nearly as strong.