The Correlation Coefficient between the two variables was found to be -0.90, which means:   a. There is a weak correlation   b. There is a very weak negative correlation   c. There is a strong correlation   d. There is a strong positive correlation

 For a regression line through the data, the vertical distance from each data point to the regression line is called residual. (i) Square the residual, and (ii) sum all of the squared errors together. This is the quantity that ordinary ...Read more

The ‘variance inflation factor’ (VIF) can be used to identify this issue   a. Homoscedasticity   b. Multicollinearity   c. Outlier   d. Normality

In a simple linear regression problem, a single input variable (x) and a single output variable , the linear equation would be y = ax + b; where a and b are _______ and ________ ...Read more