Below are the recovery times (in days) from a Hip Prosthesis for 5 females. Find the standard deviation.   29   19.2  12.9  28.8  9.5 

Which of the following is a discrete quantitative variable?  

The cigarette taxes among the states have a mean of 168 cents per pack. The values go from 30 to 440 cents. Assume that the data is normally distributed. Which of the following is a plausible value for the standard deviation?

A survey was conducted of college students in the US. They were asked to give their own height as well as the height that they would like their mate to be. Below is the least squares regression output for this data. The output below was conducted on only the male respondents. What is the predicted height for a mate of a 63 inch tall respondent?  

Below is a contingency table of results from data sampled from students at Iowa State University between Spring 2004 and Spring 2007 (real data). The students were asked to give their gender and their eye color.   Blue Brown Green Hazel Total Female 370 352 198 187 1107 Male 359 290 110 160 919 Total 729 642 308 347 2026   Based on this data, what is the conditional probability of male student having blue eyes?

Describe the following scatterplot using all four characteristics.  

A least squares regression equation was calculated to predict the college gpa based on high school gpa. The least squares regression equation was yhat = 0.71x + 1.02.  Interpret the slope, if applicable.

A least squares regression equation was computed to predict the weight (lbs) of a 3 year old toddler based on the toddler’s height (in). The equation was yhat = 5.63 + 0.618x.  (The data set included toddlers between roughly 24 and 48 inches.)  Find the predicted weight of a toddler that was 29 inches tall.

Below is a boxplot of bear shoulder heights for black bears from Appalachian mountains grouped by gender. Answer the following question about the plot.   Which of the following statements is NOT correct?

In the Spring of 2017, a sample of 102 homes for sale in Gainesville was collected. The sale price and square footage of the homes were recorded.  The least squares regression equation was price = -58857+162.9*foot  For one house, the square footage was 952 and the price was 149900 dollars. Find the residual.