Page 439 - MARSIUM'21 COMP OF PAPER

4.6 TEST OF LINEARITY

ANOVA Table

Sum of Mean

Squares df Square F Sig.
PD * CQ Between Groups (Combined) 35.552 9 3.950 2.059 .041

Linearity .096 1 .096 .050 .823

Deviation from 35.456 8 4.432 2.310 .026
Linearity

Within Groups 184.168 96 1.918

Total 219.719 105

Table 4.2.4 ANOVA Table

The value of sig. Deviation from Linearity of 0.26 > 0.05 in the ANOVA Table above indicates that the variables of
influencer marketing and purchase decision have a linear connection. This indicates that if the factors of influencer marketing
change, the value of the purchase decision will change linearly.

4.7 LINEAR REGRESSION

Model Summary

M R Adjusted R Std. Error
odel R Square Square of the Estimate
1 .218 .048 .019 1.43240
a
a. Predictors: (Constant), GI, CQ, C

Table 4.7 (a) Model Summary

This table showed us R and R2. R value indicates the simple correlation and is 0.218 (the “R” column), which shows
a high degree of correlation. The R value (the “R Square” column) illustrates how much of the total variation in the dependent
variable. In this case, 40.8% can be explained, which is quite large.

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