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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 1498 and the price was 159900 dollars. Find the residual. 

The image below is a normal representation of the MPV.  

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 492. The number of books read was 10866.  Find the residual. 

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?

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 48 inches tall.

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?

Microsoft has a new online tool that tries to guess the age of the individual in the image. Individuals uploaded a photo of themselves and had the program determine their age (ToolAge).  The individuals also entered their real age (True Age). A regression model was made to predict true age based on the tool age. If only the data for the women was included, the least squares regression equation was  yhat = 16.29+0.44x Interpret the slope(if applicable).

Microsoft has a new online tool that tries to guess the age of the individual in the image. Individuals were told to upload a photo of themselves and have the program determine their age (ToolAge).  After this was determine, the individuals were asked to  enter their real age (True Age). A regression model was made to predict true age based on the tool age. The value of R2 is 29.4%. Interpret R2 (if applicable).

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 “a little” given that they were female?

A regression line was found to predict Foreign direct investment (FDI) (net inflows (% of GDP)) based on year for the Lower middle income. The value of R-squared was 0.709. Interpret R-Squared (if applicable).