A least squares regression equation was computed to predict…
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.
Read DetailsIn the Spring of 2017, a sample of 102 homes for sale in Gai…
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.
Read DetailsFor restaurants in Gainesville, the cost of a dinner has a m…
For restaurants in Gainesville, the cost of a dinner has a mean of $50. The values go from 7 to 95 dollars. Assume that the data is normally distributed. Which of the following is a plausible value for the standard deviation?
Read DetailsIn the summer of 2011, the Chicago libraries recorded the nu…
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 797. The number of books read was 9733. Find the residual.
Read DetailsThe monthly electric bills for a local business had a mean o…
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?
Read DetailsBelow is a contingency table from the results of the 2012 Ge…
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?
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