BESC 3010 POSTTEST 7 QUESTIONS AND ANSWERS | LATEST VERSION | 2024/2025 | RATED A+
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BESC 3010 POSTTEST 7
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BESC 3010 POSTTEST 7
BESC 3010 POSTTEST 7 QUESTIONS
AND ANSWERS | LATEST VERSION |
2024/2025 | RATED A+
What does the coefficient of determination (R2) indicate?
The coefficient of determination (R2) indicates the proportion of variance in the dependent
variable that can be explained by the independent variabl...
BESC 3010 POSTTEST 7 QUESTIONS
AND ANSWERS | LATEST VERSION |
2024/2025 | RATED A+
What does the coefficient of determination (R²) indicate?
✔✔The coefficient of determination (R²) indicates the proportion of variance in the dependent
variable that can be explained by the independent variable(s) in a regression model.
How do you interpret a positive correlation between two variables?
✔✔A positive correlation means that as one variable increases, the other variable also tends to
increase, indicating a direct relationship between the two.
What is the difference between simple linear regression and multiple linear regression?
✔✔Simple linear regression involves one independent variable and one dependent variable,
while multiple linear regression involves two or more independent variables predicting a single
dependent variable.
What is multicollinearity, and why is it a concern in regression analysis?
✔✔Multicollinearity occurs when two or more independent variables in a regression model are
highly correlated, making it difficult to determine the individual effect of each variable.
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, How do you calculate the slope of a regression line?
✔✔The slope of a regression line is calculated by taking the difference in the y-values and
dividing it by the difference in the x-values of two points on the line.
What does a residual plot show in regression analysis?
✔✔A residual plot displays the residuals on the vertical axis and the predicted values on the
horizontal axis, helping to identify any patterns or non-linearity in the data.
What is the purpose of hypothesis testing in the context of regression?
✔✔Hypothesis testing in regression assesses whether the relationships observed in the data are
statistically significant, helping to determine if the independent variables have meaningful effects
on the dependent variable.
What does it mean if the p-value associated with a regression coefficient is less than 0.05?
✔✔If the p-value is less than 0.05, it suggests that there is strong evidence against the null
hypothesis, indicating that the independent variable significantly affects the dependent variable.
What is the significance of outliers in regression analysis?
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