he estimated regression model is given : Consumption = 49.13  + 0.85 Income + error  Consumption is dependent variable ; Income ( weekly) - family Income   Let's say a family income earns $ 100 more per week . How to affect the consumption level? Choose one right answer   A. For every 100 $  a family earns more per week in this case the consumption will grow on average and expected of 85 $ worth. B. For every 100 $  a family earns more per week in this case the consumption will fall  on average and expected of 49.14 $ worth.

Using the regression to model annual income, a variable for years of education has a slope = 2000. This means that the model predicts each additional year of education will yield an extra 2,000 for the average person's salary, regardless of how many total years of education a person has.  A. True B. False

Prices and mileage of 48 Dodge 2500 Pickup trucks with Cummins diesel engines.  Prices ranged from $28,925 to $68,650.  Mileage ranged from 315 to 186,466.   While I did not share the trucks were 2013 to 2020 models. Please show all work.  Interpret b0 in the context of this problem.  Interpret b1 in the context of this problem.  What percent of total variation in prices is explained by the regression model?  Provide evidence to support your answer. Price Mileage 52293 34450 50987 23372 62988 21738 37500 81176 66000 23118 47601 71143 47750 18214 42000 32303 50987 23372 28925 143737 42050 58561 51738 9691 51500 23969 44988 48781 29500 114809 46975 16918 63999 15507 46975 16918 43222 50459 38386 87192 42000 68722 62250 14042 62998 21738 32130 103644 52293 34450 52900 68883 53172 3656 53494 315 39594 88441 63246 23631 58250 34974 59391 18383 50650 42737 54976 84200 68650 14401 51114 47433 43900 74106 37450…

How much should a healthy Shetland pony weigh? Let x be the age of the pony (in months), and let y be the average weight of the pony (in kilograms). x 3 6 12 20 26 y 60 95 140 160 189 (a) Make a scatter diagram of the data and visualize the line you think best fits the data.   Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website.   (b) Would you say the correlation is low, moderate, or strong?  low moderate     strong Would you say the correlation is positive or negative?  positive negative     (c) Use a calculator to verify that          x = 67,           x2 = 1265,           y = 644,           y2 = 93,546,  and          xy = 10,544.  Compute r. (Round your answer to three decimal places.)  As x increases from 3 to 26 months, does the value of r imply that y should tend to increase or decrease? Explain your answer.  Given our value of r, y should…

Use the Women's Earnings scatterplot below to answer the questions. Women's Earnings as a Percentage of Men's Earnings 90 80 70 60 50 y = 0.617x - 1156.3 40 R² = 0.9302 à 30 20 10 1979 1984 1989 1994 1999 2004 2009 Year What is the independent variable and what does it represent? Year Percentage Income in dollars CO2 Percentage

B-4 A toy store manager would like to know how the price can affect the sales of toys. In his data, he obtained 100 pairs of prices (unit: £) and volume of sales (unit: hundreds) for the toys. A simple linear regression was run with Sales as the dependent variable and Price as the independent variable with the following results. Regression Statistics R Square Adj. RSqr StErr of EST 0.876 0.767 0.701 4.184 Summary Table Variable Coeff. Std. Err Intercept 64.742 11.310 Price -2.645 0.602 (a) Write down the estimated regression equation. Explain this regression equation. (b) What's the value for R Square? Explain the meaning of this value. (c) Test the significance of the model at a=0.05 level. Write down the hypothesis you are testing, the statistic you use to evaluate the test, and your conclusion. (d) Use the regression output to construct a 99% confidence interval for the predicted sales when the price is set to be 15. (e) A colleague in the toy store claims that £1 increase in the…

What's a good topic for a regression topic? Make sure you have two quantitative variables (for example # of siblings and heart rate). Ask for another variable like academic year, major, hobbies, favorite genre of movie. - State the independent and dependent variables and what is the population.

The correct answer is option C but I do not know how to find the number that go inside it.

What is the explanatory variable,   what is the response variable. What is the regression equation for this data.   Plot the regression line in your calculator and draw it on your graph.   Interpret in context the slope.   Interpret in context the y-intercept.   What is the residual at 45 years of age.   Plot the residual plot on the axis to the right