You have found that the effect of IQ on test score can be modelled as a straight line with an intercept of -3.56 and a slope of 0.1. For an IQ of 100 (x) what would be the predicted test score (y)? A. 6.44 B. 3.56 C. 356.1 D. 100

in a regression analysis 68% of students test score is determined by class absenteeism. The relationship between class absenteeism and test score has a linear equation of Y= 34-0.85(X) what the correlation coefficient is a. 0.4624 b. -0.85 c. -0.8246 d none of the above e.0.68

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The table gives the amount of money (in dollars) spent on football by a major university. Letting a represent the number of years since 2005, and letting y represent the amount of money spent on football, in thousands of dollars, use the regression capabilities of a graphing calculator to find the equation of the line of best fit. Round values off to the nearest hundredth. Then, use your equation to make the following predictions. Year 2005 2006 2007 2008 2009 2010 Dollars spent on football 165,000 196,000 210,000 226,000 242,000 279,000 The equation of the line of best fit is: Hint Predict the amount of money that will be spent on football in the year 2024. +A Predict the amount of money that will be spent on football in the year 2041.