The coefficient of determination for the average low temperature (x) and the average monthly electric bill for Richmond is 0.92. Based on this, which would you say is a better variable to use to estimate the monthly electric bill in Richmond, the average high temperature or the average low temperature? Explain your answer.

The cost of fuel is the largest component of cost of ownership for most vehicles. Fuel cost is​ (almost) inversely proportional to gas​ mileage; higher gas mileage means lower fuel cost and​ vice-versa. If you keep track of the number of miles driven on each tank of gas as well as how much gas is​ purchased, it is easy to calculate gas​ mileage; many cell phone apps exist to track this. The data in the following table is the gas mileage for Mr.​ Hebert's 2015 Jeep Wrangler Unlimited.     12.85 14.98 15.36 17.09 18.86 13.28 15.11 15.62 17.50 19.07 13.48 15.12 15.65 17.66 20.91 14.65 15.13 16.41 18.17 21.17 14.71 15.14 16.80 18.27 22.11 e. Does this data show any skew or​ symmetry?   A. Left​ - Skewed   B. Right​ - Skewed   C. Symmetrical

A pediatrician wants to determine the relation that exists between a child's height (x) and head circumference (y). She randomly selects 11 children from her practice and measures their height and head circumference in inches. She finds that the correlation is 0.477 and the regression equation is y = 0.149x + 8.15 What proportion of the variation in head circumference can be explained by the variation in the values of height? % Report answer as a percentage accurate to one decimal place.

Here are two sets of bivariate data with the same response variable. The first contains the variables x & y. The second contains the variables w & y | y w y 25.3 43.9 68.8 36.7 43.8 56.7 57 55 49.2 61.3 27.9 52 57.4 69.3 48 | 50.5 33.7 47.3 58.3 49.2 46.3 56 46.6 34.4 67.1 75.8 35.1 48.3 25.7 43.4 19 76.8 47.2 57.9 7.3 56.8 37.5 57.4 32.9 56.2 44.8 60.4 43.8 49 29.7 38.5 26.4 | 60.9 42.8 53.6 55.6 49.4 60.3 69.7 53.9 55 53.2 67.1 47.8 42.7 57.4 66.3 25 54.8 45.5 57.6 13.9 65 42 51.6 69.5 43.6 38.9 54.8 79.5 29

The cost of fuel is the largest component of cost of ownership for most vehicles. Fuel cost is​ (almost) inversely proportional to gas​ mileage; higher gas mileage means lower fuel cost and​ vice-versa. If you keep track of the number of miles driven on each tank of gas as well as how much gas is​ purchased, it is easy to calculate gas​ mileage; many cell phone apps exist to track this. The data in the following table is the gas mileage for Mr.​ Hebert's 2015 Jeep Wrangler Unlimited.     12.85 14.98 15.36 17.09 18.86 13.28 15.11 15.62 17.50 19.07 13.48 15.12 15.65 17.66 20.91 14.65 15.13 16.41 18.17 21.17 14.71 15.14 16.80 18.27 22.11 f. Construct a​ 95% confidence interval to estimate the average fuel economy of the jeep. enter your response here≤μ≤enter your response here ​(Round your answers to 2 decimal​ places.)

City One has 205 rainy days out of 365 days while City Two has 168 rainy days out of 365 days. Test if the percentage of rainy days in City One is larger than the percentage of rainy days in City Two. Use α=0.05. Round you answer to 3 decimal places.

The z-score for 13.5 ounces is -2.50; the z-score for 15.5 ounces is 2.50. Using the answers from Step 1, what percent of the boxes will weigh between 13.5 ounces and 15.5 ounces? (Round your answer to one decimal place.)

A pediatrician wants to determine the relation that exists between a child's height (x) and head circumference (y). She randomly selects 11 children from her practice and measures their height and head circumference in inches. She finds that the correlation is 0.694, and the regression equation is y = 0.294x + 2.02. What proportion of the variation in head circumference can be explained by the variation in the values of height? Round your answer to three decimal places. %

The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1�1) is the square footage, the second independent variable (x2�2) is the number of bedrooms, and the third independent variable (x3�3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 11191119 33 33 100900100900 13081308 33 44 119800119800 14521452 33 66 189800189800 16931693 33 66 190500190500 20052005 33 66 196900196900 22102210 33 99 216600216600 23012301 44 99 250900250900 23452345 44 1010 267800267800 28532853 55 1313 270000270000 Copy Data Step 1 of 2 :   Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places

Give an example of a nominal variable for people in recovery for substance abuse