Question: Questions 19 and 20 are based on the Linear Regression data in columns G and H where we are trying to predict the Grade on

 Questions 19 and 20 are based on the Linear Regression datain columns G and H where we are trying to predict the

Grade on an exam based on the Hours Studied. 19) Use thecommands SLOPE and INTERCEPT to find the Regression Line equation. A. y=

Questions 19 and 20 are based on the Linear Regression data in columns G and H where we are trying to predict the Grade on an exam based on the Hours Studied. 19) Use the commands SLOPE and INTERCEPT to find the Regression Line equation. A. y= 5.166 + 0.968x B. y= 0.968 + 5.165% C. y= 56.243 + 5.277x D. y = 5.277 + 56.243x 20) Using the regression equation from 19), predict the grade for someone who studies 5.5 hours. A. 84.35 B. 86.00 C. 302.29G H Hours Studied Grade 72 7.5 88 6 80 6.5 92 2.5 66 70 96 5.5 86 5 80 3.5 70 4 88 5 90 3.5 74 96 100 4.5 82

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