Spss software for windows version 26

Descriptive statistics was used for summarizing the demographic characteristics of the participants. The data collected were analyzed using the SPSS software for Windows, version 26.0. Pearson r and Multiple Linear Regression were performed to test the relationship of the participants’ demographic characteristics and knowledge and practices in the use and disposal of SMs.
Pearson's r correlation coefficient formula is as follows: r = Pearson coefficient; n=number of the pairs of the stock; $\sum xy$ = sum of products of the paired stocks; $\sum x$ = sum of the x scores; $\sum y=$ sum of the y scores; $\sum x^2=$ sum of the squared x scores; and $\sum y^2$ = sum of the squared y scores. $r=\frac{n\left(\sum xy\right)-(\sum x)\left(\sum y\right)}{\sqrt{[n\sum x^2--{(\sum x)}^2]}[n\sum x{y}^2-(\sum y^2)]}$
The multiple linear regression formula is presented below where: yi​ = is the dependent or predicted variable; β₀ = is the y-intercept, i.e., the value of y when both xⁱ and x² are 0; β₁ and β₂ = are the regression coefficients representing the change in y relative to a one-unit change in xⁱ1 and xⁱ2, respectively; β_p = is the slope coefficient for each independent variable’ and ϵ = is the model's random error (residual) term. $\text{yi}={\beta }_0+{\beta }_1{x}^{i}1+{\beta }_2{x}^{i}2+\dots +{\beta }_{\mathrm{p}}{x}_p^i+ϵ$