In regression analysis the independent variable is a

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16. In regression analysis, the independent variable isa. used to predict other independent variablesc. called the intervening variableb. used to predict the dependent variabled. None of these answers is correct.
17. A multiple regression model has
18. If the coefficient of correlation is 0.8, the percentage of variation in the dependent variable explained by the estimated regression equation is
d. 64%19. The least squares method minimizes which of the following?
Questions 20 to 25 refer to the following:Exhibit 4:A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this belief, the following data was collected:SalespersonNumber of ContactsSales (in thousands)114242121432028416305468062330748908508595512010 5011020. What is the dependent variable?a. Salesperson b. Number of contacts c. Amount of sales d. None of the above
21. What is the Y-intercept of the linear equation?
12.20122. What is the slope of the linear equation?
23. The predicted value of Y for X=30 calls is
24. What is the value of the coefficient of correlation?a. 0.6317 b. 0.9754 c. 0.9513 d.
9.310425. The SS total is
PART B(40 marks):Question 1 (5 marks)A team of researchers developed a new test of adult intelligence. The test was administered to 20 individuals, and the following data were obtained.114 99 131 124 117 102 106 127 98 104 144 151 132 106 125 122 Summarize the data by constructing the following:a.Show the frequency distribution (use classes 90-99, 100-109 and so forth);119 115118 118
Adult IntelligenceFrequency90-992100-1094110-1195120-1294130-1392140-1491150-1591Grand Total19b.Show the percent frequency distribution;c. Comment on the shape of the distribution; ____________d. What is the percentage of IQ scores that is above 120?

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