(A) Regression equation is
y = -8.83 + 1.13*x
setting x = 95
we get
= -8.83 + 1.13*95
= -8.83 + 107.35
= 98.52
(B) Regression equation is
y = 24.68 + 1.67*x
setting x = 28
we get
= 24.68 + 1.67*28
= 24.68 + + 46.76
= 71.44
Use the following results to predict the following: a. The hip circumference of a man whose...
Each pair of data below is in the form (x, y). They may have a weak correlation (0 <r<0.5), a moderate correlation (0.5 <r<0.8), or a strong correlation (0.8 <r<1.0) (a) (weight, neck) (c) (age, body fat) (e) (age, wrist) (8) (forearm, height) (i) (weight, body fat) (k) (hip, abdomen) (b) (weight, height) (d) (chest, hip) (f) (ankle, wrist) (h) (bicep, forearm) () (knee, thigh) (1) (abdomen, hip) 1. Find the correlation coefficient for each pair of data a-l. Then...