A regression was run to determine if there is a relationship between hours of TV watched per day \( (\mathrm{x}) \) and number of situps a person can do \( (y) \). The results of the regression were: \( \begin{array}{l}\mathrm{y}=\mathrm{ax}+\mathrm{h} \\ \mathrm{a}=2.389 \\ \mathrm{~b}=37.535 \\ \mathrm{r}^{2}=0.412164 \\ \mathrm{r}=-0.642\end{array} \) Use this to predict the number of situps a person who watches 0.5 hours of TV can do (ta one decimal place)

A Cramer's V of .90 would be indicative of a weak of relationship (A) True (B) False

University administrators have recently realized that students who tend to spend more time in the library achieve higher grades on their final examinations. What type of relationship would a researcher call this tendency? (A) positive relationship (B) A negative relationship (C) An inverse relationship (D) There is no correlational relationship between time spent in the library and subsequent final exam

standard deviation 3 a normal distribution random variable with mean 23 and that the probability \[ P(X>x)=0.66 \]

It is considered appropriate for a researcher to perform the analysis of variance test using a "continuous categorical variable". A) True (B) False

In a one-sample t-test, which of the following is true about the null hypothesis? (B) The sample mean is greater than the population mean (C) The sample mean is not equal to the population mean (D) The sample size is larger than 30