As The Regional Manager Of A Pizza Franchise Business You Are Interested In Understanding How Income In A Region Affect 1 (41.13 KiB) Viewed 21 times
As the regional manager of a pizza franchise business, you are interested in understanding how income in a region affects pizza sales. Below is a regression output for pizza sales (in thousands of dollars) regressed on the average household income of an area (also in thousands of dollars). Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 884(a) 781 57.970 a Predictors: (Constant), INCOME L592 Unstandardized Coefficients Standardized Coefficients t sig. Model B Std. Error Beta (Constant) 4.027 1.453 6.05 .001 Income -2.611 0.428 884 13.54.000 a Dependent Variable: PIZZASALES What is the regression equation? Ô a. p=1.453+0.428x Ở b. p= 0,781+0.884 OC. y = 4.027-2.611 Od ŷ=0.428 -2.611x
The accompanying Venn diagram illustrates a sample space containing six sample points and three events, A, B, and C. The probabilities of the sample points are P(1) = 0.3, P42) = 0.2, P3) = 0.1. P(4) = 0.1, P45) = 0.1 and PC) = 0.2. PA U B) = A 3 с 05 .6 .2 04 B S O a. 0.8 . O b. 1. 2. 3. 4,5) O c. (6) O d. 0.2 1
Consider the following back-to-back stem and leaf plot: Leaf (data set 1) Stem Leaf (data set 2) O 3 4 8 1 01256 8.43 2 29 6 5 210 3 2 5 5 7 92 4 st 7 5 5 2 5 0) 6 14 58 6 02 7 09 8541 00 90 9 Which of the following are true statements? 1. The distributions have the same mean. II. The distributions have the same range. III. The distributions have the same standard deviation. O a. I and II only a O b. ll only O c. II and III only O d. I. II and III 1
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