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.

In the summer of 2011, the Chicago libraries recorded the number of participants per branch of the library versus the number of books read from that branch.  They wanted to predict the number of books read at each branch based on the number of participants in the summer program.  The least squares regression equation was  books read = -657.0 +24.74 participants For one branch of the library the number of participants was 413. The number of books read was 12739.  Find the residual. 

The scores on an exam have a mean of 69. The scores range from 37 to 99. Assume that the data is normally distributed. Which of the following is a plausible value for the standard deviation?

Suppose that you had a random number generator that randomly selected values between 0 and 1. Assume that each number is equally likely between 0 and 1 – including decimals. What is the probability that you would select a value between 0.25 and 0.5?

The monthly electric bills for a local business had a mean of 1535 dollars. The values go from 1430 to 1630 dollars. 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?  

A survey was given to all students that attended Gator Growl (A UF pep rally). The survey asked if the location for Gator Growl was ideal. Out of the survey, 80% said yes, that it was. A newspaper reported that 80% of all students at UF felt that the location was ideal.  What type of error is being made here?

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 44 inches tall.

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 1698 and the price was 165000 dollars. Find the residual. 

The monthly precipitation in Florida has a mean of 100 mm. The values go from 50 mm to 181 mm. Assume that the data is normally distributed. Which of the following is a plausible value for the standard deviation?