The regression output for sales and number of salespeople are shown below. Model summary
Model 1R.746(a) R-square .556 Adjusted R-square .541 Std. error of the estimate 46.873 a Predictors: (Constant) , number of salespeople
ANOVA(b)
Model 1 Regression Residual Total Sum of Squares 77152.23861516.962138669.200df12829 Mean square 77152.2382197.034F35.117 Sig. .000(a) a Predictors: (Constant) , number of salespeople
B Dependent Variable: Sales (A$'000)
Coefficients(a)
Model 1 (Constant) Number of salespeople Unstandardised coefficients B72.61235.623 Std. Error 9.2033.296 Standardised coefficients Beta .201t2.5655.926 Sig. .013.064 a Dependent variable: Sales (A$'000)
The above shows that for every one-unit increase in number of salespeople, average sales will increase by approximately:
Birth Rates
The number of live births per thousand people in a population over a given period of time.
Optimum Population Size
The ideal number of individuals in a species that an environment can support sustainably without degrading natural resources.
Population Growth
The increase in the number of individuals in a population, influenced by factors such as birth rates, death rates, and migration.