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 1170 and the price was 137500 dollars. Find the residual. 

The below stem and leaf plot states the petal lengths (cm) of a sample of 150 irises.     What is the minimium petal length?

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 184. The number of books read was 3513.  Find the residual.   

Look at the below scatterplot and determine what would be a reasonable value for the correlation coefficient. C1 and C3 represent someone’s rating of two different television programs on a scale from 0 to 1.0.  

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 1142. The number of books read was 30310.  Find the residual. 

A group of individuals were asked to state their height and if they felt that their weight was about right, overweight or underweight. The below boxplot shows their height grouped by their weight status. What response had the highest third quartile height?  

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 35 inches tall.

Below is a contingency table from the results of the 2012 General Social Survey. Respondents were asked to identify how much they understood issues facing the country. Responses were broken down by gender.   1:None 2:A little 3:Some 4:Quite a Bit 5:A great deal Male 14 51 140 89 23 Female 16 69 138 58 16   What is the conditional probability that someone knows “quite a bit” given that they were male?

A group of individuals were asked to state their height and if they felt that their weight was about right, overweight or underweight. The below boxplot shows their height grouped by their weight status. What response had the lowest third quartile height?  

A regression line was found to predict Foreign direct investment (FDI) (net inflows (% of GDP))  based on year for the North America. The value of R-squared was 0.514. Interpret R-Squared (if applicable).