The regression output for sales and advertising spend is shown below. Model summary
Model 1R.445 (a) R-square .198 Adjusted R-square .169 Std. error of the estimate 1229.780 a Predictors: (Constant) , advertising spend
ANOVA(b)
Model 1 Regression Residual Total Sum of squares 10448599.64742346067.01952794666.667 df 12829 Mean square 10448599.6471512359.536F6.909 Sig. .014(a) a Predictors: (Constant) , advertising spend
B Dependent variable: Sales (A$'000)
Coefficients(a)
Model 1 (Constant) Number of salespeople Unstandardised coefficients B2993.29842.928 Standardised coefficients Std. Error 706.24716.332t Beta .445 Sig. 4.2382.628.000.014 a Dependent variable: Sales (A$'000)
The above shows that:
Blood Vessel
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