# Question

A scatter diagram includes the data points (x = 2, y = 10), (x = 3, y = 12), (x = 4, y = 20), and (x = 5, y = 16). Two regression lines are proposed: (1) ŷ = 10 + x, and (2) ŷ = 8 + 2x. Using the least-squares criterion, which of these regression lines is the better fit to the data? Why?

## Answer to relevant Questions

For the regression line developed in Exercise 15.38, a. Use the 0.05 level in testing whether the population coefficient of correlation could be zero. b. Use the 0.05 level in testing whether the population regression ...Given the information below, calculate SST, SSR, and SSE, determine the coefficient of determination, then use ANOVA and the 0.05 level in testing whether r2 is significantly different from zero. What is spurious correlation? Provide a real or hypothetical example where two variables might exhibit such a relationship. A scatter diagram includes the data points (x = 3, y = 8), (x = 5, y = 18), (x = 7, y = 30), and (x = 9, y = 32). Two regression lines are proposed: (1) ŷ = 5 + 3x, and (2) ŷ = – 2 + 4x. Using the least-squares ...For the regression analysis of the data in Exercise 15.77: a. Use the 0.10 level in testing whether the population coefficient of correlation could be zero. b. Use the 0.10 level in testing whether the population regression ...Post your question

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