= T F F Clearly circle either true or false for the following statements. You do not need to correct the false statement
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= T F F Clearly circle either true or false for the following statements. You do not need to correct the false statement
= T F F Clearly circle either true or false for the following statements. You do not need to correct the false statements. TF 1. When there is no linear relationship between two variables, a horizontal regression line best describes the relationship TF 2. A "statistically significant F" in an ANOVA indicates that you have identified which levels of factors are different from the others. TF 3. The t statistic for an individual coefficient measures the significance of the contribution of the corresponding independent variable, after controlling for the other variables in the model (if any). T F 4. When using a Levene's test to assess the equality of variances, a significant p-value would indicate that the variances are equivalent. TF 5. Confidence intervals for My|x are narrowest when x is at the mean. 6. To use the F statistic to test for the equality of two variances, the sample sizes must be equal 7. The t test can be applied with absolutely no assumptions about the distribution of the population. F 8. The adjusted RP attempts to balance good fit against model complexity. T F 9. If the null hypothesis cannot be rejected, then it may be inferred that there is no evidence of the alternative hypothesis being true. TF 10. If a regression line is computed for data where x ranges from 10 to 45, you may safely predict y for x = 50. Question 11: A group of eight individuals with high cholesterol levels were given a new drug that was designed to lower cholesterol levels. Cholesterol levels, in mg/dL, were measured before and after treatment for each individual, with the following results: Subject 1 2 3 4 5 6 7 8 Before 283 299 274 284 248 275 293 277 After 215 206 187 212 178 212 192 196 T T F T 11. Can you conclude that the mean cholesterol level after treatment is less than the mean before the treatment? Use a = 0.05 and the critical region method.