MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- A regression analysis was performed to determine if there is a relationship between hours of TV watched per day () and number of sit ups a person can do (y). The results of the regression were: y=ax+b a3D-0.838 b=28.783 es 72-0.784996 r=-0.886 rences borations Use this to predict the number of sit ups a person who watches 1 hours of TV can do, and please round your answer to a whole number. gle Drive ce 365 Submit Question adent Course aluations ere to search Chp ins prt sc delete f12 f9 f10 fa f5 f6 +1 f4 backspa & $4 8. 6 3 O E R T II 5arrow_forwardThe correlation coefficient ranges from which two values?arrow_forwardIf the correlation between a person’s age and annual income is r=0.60, what does the coefficient of determination r2 tell us about the explained variation? a) 36% of the variation in a person’s annual income can be explained by the predictor variable age. b) 36% of a person’s annual income can be explained by their age c) 60% of the variation in a person’s annual income can be explained by the predictor variable age d) 60% of a person’s annual income can be explained by their agearrow_forward
- A researcher wants to make an equation that will predict a person's support for domestic surveillance from a variety of demographic characteristics (e.g., age, income). What method will they use? A) Multiple regression B) Correlation C) Two-factor ANOVA D) One-sample t-testarrow_forwardx = number of traffic tickets y = Cost of auto insurance A test of linear correlation between traffic tickets and insurance cost produces a linear correlation coefficient of r = 0.705. Determine weather the regression line has a positive slope, or a negative slopearrow_forwardThe equations of the regression line between two variables are expressed as 2x-3y=0 and 4y-5x-7=0 a) identify which of two can be called regression line of Y on X and X on Y b) find the correlation coefficient c) find mean value of X and mean value of Yarrow_forward
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