A sales manager gathered information on the number of sales calls made and the number of copiers sold for a random sample of 20
sales representatives. From his analysis he found the following descriptive statistics and he wants to determine the relationship between the number of sales calls and the number of copiers sold to predict the number of sales for a given number of calls. Which one of the following models best describes the linear model? mean standard deviation
number of sales calls 22 9.2
number of copiers sold 45 14.3
correlation coefficient 0.76
A. ^calls = 19.01 + 1.18 x sales
B. ^sales = 1.18 + 19.01 x calls
C. ^sales = 19.01 + 1.18 x calls
D. ^calls = 1.18 + 19.01 x sales
. The sales manager gathered information on the numbers of sales calls made and the number of copiers sold for a random sample of sales representative. Is there a positive correlation between calls made and copiers? Test at the 0.05 level of significance. Determine the 90% prediction interval for 60 number of calls made. * Calls, X Sold. Y 20 40 20 50 40 60 50 90 40 80 20 40 40 60 30 60
ASA(Angle-Side-Angle) postulates states that if two angles and one included side of one triangle are congruent to the two angles and one included sides of the other triangle, then these triangles are congruent.
