4.
Sum of X = 27
Sum of Y = 26
Mean X = 6.75
Mean Y = 6.5
Sum of squares (SSX) = 50.75
Sum of products (SP) = 0.5
Regression Equation = ŷ = bX + a
Slope=b = SP/SSX = 0.5/50.75
= 0.00985
Intercept=a = MY - bMX =
6.5 - (0.01*6.75) = 6.4335
ŷ = 0.00985X + 6.4335
4.(15 pts) For the following data used to predict number of yearly doctors' visits from number...
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