Use the following information to answer questions 1 -13 A study was conducted with a group of dieters to determine if the number of grains of fat each person consumes per day is related to the cholesterol level. The data are shown below: Fat grams ()0 Cholesterol level {y} 5.5 183 5.5 2'1 3.2 193 1B 283 5.5 222 9.1 259 BB 193 110.4 218 1. The slope of the beetht line is: A. 1.28 B. 12.53 C. 111.37 2. The Intercept of the bestfit Line between the data points is: A. 1.26 B. 12.63 (2 111,3?" 3. The percentage of the variation In y that can be explained by the linear model is: A. 37 B. 5? C. 61 4. There is a linear correlation between fat grams and cholesterol level A. Strong positive E. Moderately pos1tive C. Moderately negative 5 The average deviation of a point from the titted Line is: A. 12.63 B. 29.22 C. \"1.81" 6. The predicted value of cholesterol Level (y-hat) for a person who consumes 18 grams of fat is: A. 238.2I B, 283.88 C. 29I.8@ 7. The error between the actual value of cholesterol level ()1) and the predicted value of cholesterol level (yihat) for a person who consumes 18 grams of fat is: A 744.8 E. 8.8 C. 44.8 3_ The test statistic (t) calculated to test it: B : 8 against H.: I3 is not equal to 8 is: A. 1.89 B. -1.89 C. 8 Q. The p-value for a test statistic as extreme as or more extreme than that calculated in part 8 is: A. 8.I1 B. 8.881 C. 8.187 18. Comparing the pivalue obtained in part 9 to u = 8.85 it can be concluded that: A. there is a correlation between x and y in the population B. there is no correlation between x and y in the population C, no conclusion can be drawn. 1|.The degrees of freedom that will be used to determine the critical value of t needed to calculate the 95% confidence interval for the slope is: A. 6 B, 7 C 8 12. The critical value of t that W1 ll be used to calculate the 95% confidence interval for the slope is: A. 1.94 B. 2.36 (21.45 13. The Sh value that will be used to calculate the margin of error for the 95% confidence interval of the slope is: A. 12.63 B. 6.65 (2.2.36 14. The 95% confidence interval for the slope is ,. and we can conclude that a possible value of the slope in the population is A. (17,2898) and the slope of the population is 8 B. (3.7. 29.98) and the slope of the population is 8 C. (-3. '1', 29.5 and the slope of the population is 8 llso the following information to salvo problems 15-28