A Monte Carlo study of the effects of correlated method variance in moderated
multiple regression analysis.
The estimated
multiple regression equation for overhead costs using both units of output and machine hours as the independent variables is: OH = $53685.21 + $0.706112 (units of output) + $8.617027 (machine hours).
In developing a
multiple regression sales forecasting model, existing store sales are statistically compared with measures of those variables expected to influence the level of sales -- either positively or negatively.
In comparison with these two analyses, use of factor analysis scores with
multiple regression model analysis offering optimal solution with very low VIF and RMSE values was adopted for the prediction of body weight of the Balochi male sheep.
Slowly,
multiple regression has brought about a number of criticisms.
On the other hand, there is still lack of information about predicting the live body weight from morphological traits in Savak Akkaraman lambs by means of jointly using factor and
multiple regression analyses; therefore the previous report on predicting body weight by morphological traits in the Savak Akkaraman sheep has not yet been found recently.
Multiple regression equations were obtained to estimate the contribution of SL, SH, and SW to total body weight of M.
In the example shown in the article, the indicated value is rounded to $845,000 using
multiple regression, and $836,000 using the adjustments from
multiple regression.
To study the effect of age, height and weight on the PFT values, simple and
multiple regression models were applied.
Descriptive statistics for each variable and findings from the
multiple regression analysis of science achievement test scores are summarized in Table 1.
Then,
multiple regression analysis was performed using several physiological parameters as covariates in order to identify the parameters that would significantly enhance the correlation with the VFA calculated by CT.