The following table displays the mathematics test scores for a random sample of, along with their final SY16C grades.
a.Fit the regression line y=a+bx to the data
and interpret the results.
b.Use the regression equation to determine the SY16C grade for a college student who scored 60 on their achievement test. What would their SY16C grade be?
Mathematics (x)SY16C grade (y)139652437832152464825579264789728738759893456
"\\bar{Y}=\\dfrac{1}{n}\\sum_iY_i=\\dfrac{685}{9}\\approx76.111111"
"SS_{XX}=\\sum_iX_i^2-\\dfrac{1}{n}(\\sum_iX_i)^2"
"=20930-\\dfrac{408^2}{9}=2434"
"SS_{YY}=\\sum_iY_i^2-\\dfrac{1}{n}(\\sum_iY_i)^2"
"=54191-\\dfrac{685^2}{9}=2054.888889"
"SS_{XY}=\\sum_iX_iY_i-\\dfrac{1}{n}(\\sum_iX_i)(\\sum_iY_i)"
"=32954-\\dfrac{408(685)}{9}=1900.666667"
"slope=m=\\dfrac{SS_{XY}}{SS_{XX}}=\\dfrac{1900.666667}{2434}"
"=0.7809"
"n=\\bar{Y}-m\\bar{X}=76.111111-0.7809(45.333333)"
"=40.7111"
a.The regression equation is:
"r=\\dfrac{SS_{XY}}{\\sqrt{SS_{XX}}\\sqrt{SS_{YY}}}"
"=\\dfrac{1900.666667}{\\sqrt{2434}\\sqrt{2054.888889}}\\approx0.849868"
Strong positive correlation.
The SY16C grades increases from "40.7111." The slope is "0.7809."
b.
"SY16C=88"
Comments
Leave a comment