Statistical Analysis for Education and Psychology Researchers

119 14161 5 25 595

95 9025 1 1 95

118 13924 6 36 708

ΣY^2 =134202 ΣX^2 =374ΣXY=6686

ΣY=1154 ΣX=56

n=10

The corrected sums of squares for Y is therefore:

The corrected sums of squares for X, is calculated in a similar way, substituting values of
X for Y and is 60.4.
The corrected sums of squares for the cross product XY, denoted SSXY, is calculated as
follows:

Sums

of

squares

for

cross

product

XY—

8.4

which is

2 Parameter Estimates

The regression statistic, b 1 , which estimates the regression slope parameter is given by:

Estimate

of

regression

slopepara

meter—8.5

The regression statistic, b 0 , which estimates the regression intercept parameter is given
by:

Estimate

of intercept

parameter

Statistical analysis for education and psychology researchers 262