US CMA Part 1 · Chapter 6 · Question 16 of 22
For a regression model, the total sum of squares is 50,000 and the sum of squared errors (residual sum of squares) is 8,000. What is the coefficient of determination?
Test yourself: pick an answer
Reveal answer & explanation
Correct answer: A) 0.84
Explanation
R-squared = 1 - SSE / SST = 1 - 8,000 / 50,000 = 1 - 0.16 = 0.84. So 84% of the variation in the dependent variable is explained by the model. 0.16 is the unexplained proportion, and 0.92 would be the correlation coefficient.
More Technology and Analytics MCQs
- Q18A cost estimation equation was derived from data on production between 2,000 and 6,000 units per month. Why should managers be cautious…
- Q19What distinguishes Monte Carlo simulation from simple sensitivity analysis?
- Q20An analyst wants to show whether there is a relationship between monthly advertising spend and monthly sales revenue across 36 months…
- Q21A retailer wants to group its customers into segments based on purchasing behavior, without any predefined labels for the groups. Which…
- Q22A company uses exponential smoothing with a smoothing constant (alpha) of 0.3. The forecast for May was 500 units and actual May demand…
