International Journal of Horticulture, 2024, Vol.14, No.1, 31-37 http://hortherbpublisher.com/index.php/ijh 35 2.4 Model adequacy check 2.4.1 Linearity A normal probability plot is used to check the relationship between the dependent variable (Apple productivity) and independent variables. The results showed that the p-p plot graph indicates that all observations lie approach to a straight line (Figure 1). This implies that the relationship between Apple's productivity and predictors is approximately linear. Figure 1 Normal p-p plot of standardized residual of apple productivity 2.4.2 Normality Normality is checked by a graphical method using a histogram of residuals. The normality assumption is approximately fitted because the histogram of residuals of the apple productivity has a bell shape and is unimodal (Figure 2). Figure 2 Histogram of residual regression fitted on apple productivity 2.4.3 Homoscedasticity Homoscedasticity is checked by using the Breusch – Pagan test. The test shows p-value of 0.184 which is greater than the p-value of 0.05 that supports the null hypothesis and proves the data shows homoscedasticity. This indicates that the data has a somewhat constant variance.
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