A researcher conducted a study to see it there are differenc

A researcher conducted a study to see it there are differences in mean prostate specific antigen levels (PSA) between men >50 years of age and men le 50 years of age. The researcher hypothesizes that there will be a difference in mean PSA between the two groups. The 95% confidence interval for the difference mean PSA between age groups was (0.2, 6.0). What can you conclude from this confidence interval. Suppose that a test for a simple linear regression model explaining enough variability in the response results in a p-value that is not statistically significant. Which of the following CANNOT be true? There is no evidence of a linear relationship between the variables. The R2 value is probably close to 0. There is evidence that the true slope of the line is not 0. The p-value was not smaller than 0.05. The p-value was not smaller than 0.05 What can be said about R7 when the ANOVA table has a large total sum of squares and a relatively small model sum of squares? R2 will be small because the model explains a small portion of the variability in the outcome. R2 will be large because the model explains most of the variability in the outcome. R2 will be small because the model explains a small portion of the variability in the explanatory variable. R2 will not be affected because it does not involve the model sums of squares or the total sum of squares. which of the following correlation coefficient estimates would NOT be valid? which of the following is not assumption for ANOVA?

Solution

1) C)

A)

4) C)

5) d

b)