Statistics: Least Squares

The least squares method is a form of mathematical regression analysis used to determine the line of best fit for a set of data, providing a visual demonstration of the relationship between a known IV and an unknown DV (Kenton, 2023). The Least Squares method is commonly used to evaluate financial data. The Least Squares method offers a quality visual depiction of the data and trends.
The coefficient in a linear regression model is the value that is used to multiply the predictor value. The intercept coefficient is the constant. It is the mean value of the dependent variable when all independent variables are zero. The intercept coefficient of this model was 1.538e+04.
Based on the data, the null hypothesis cannot be proven and must be rejected. Gender does have an impact on salary at this company.