A high school counselor wants to look at the relationship between the grade point average (GPA) and the number of absences for students in the senior class this past year. The data show a linear pattern with the summary statistics shown below: mean standard deviation x = # of absences x? = 5.0 sx = 1.2 y = GPA ? = 2.9 sy = 0.3 r = -0.65 Find the equation of the least-squares regression line for predicting GPA from the number of absences. Round your entries to the nearest hundredth. ? = [ ] + [ ]x
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However, this information is not provided in the question. Assuming that the correlation coefficient is 0.65 (as mentioned in the question), we can use the formula for the slope (b) of the least-squares regression line: b = r * (SD_V / SD_T) where SD_V is the Show moreā¦
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