Identify the variable as either qualitative or quantitative. (a) months in the year (b) distance of a successful field goal during a football season
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Identify the variable as either qualitative or quantitative.
(a) months in the year
(b) distance of a successful field goal during a football season
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- Given the following pairs of value of the variables: Advertisement expenses and revenue generation (in million) of a hospital:(a) make a scatter diagram.,(b) Do you think that there is any relationship between the variables?(c) Is it positive or negative?(d) is it high or low? and,(e) by graphic inspection draw an estimated line First 3 questions have been answered, subparts to be answered only ( D, E ) Advertisement expenses in million 2 3 5 6 8 9 Revenues generated in millions 6 5 7 8 12 11You run a regression of Iowa crop yield per acre on average growing season temperature, average growing season rainfall, and average growing season total precipitation. You get the following results: Data Table Variable Coefficient Std. Error t value p-value (Intercept) 103.4183 42.891 2.411 0.0161 Temp 1.9446 0.0636 30.577 0.000001 Rain 43.988 21.1693 2.078 0.038 Precipitation −46.5995 21.1768 −2.2 0.028 What problem(s) do you think this regression has? Group of answer choices a) Omitted variable of how much fertilizer was used. This will impact the Rain coefficient. b) Multi-collinearity. Rain and precipitation are very highly correlated, their estimates are unreliable. c) Huge outliers are driving the result from years in drought. d) No issues, regression is probably fine.All parts-Please define variables and everything.
- -by-Side We expect a car's highway gas milcage to be related to its city gas mileage (in miles per gallon, mpg). Data for all 1259 vehicles in the government's 2019 Fuel Ecomomy Guide give the regression line (b) What is the intercept? Give your answer to three decimal places. highway mpg - 8.720 + (0.914 x city mpg) intercept: mpg for predicting highway milcage from city mileage. Why is the value of the intercept not statistically meaningful? O The value of the intercept represents the predicted highway milcage for city gas mileage of 0 mpg. and such a prodiction would be invalid since O is outside the range of the data. O The value of the intercept represents the predicted city mileage for highway gas mileage of 0 mpg. and such a car does not exist. The value of the intercept is an average value calculated from a sample. The value of the intercept represents the predicted highway milcage for slope 0.Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R = 0.94, (b) R² = 0.27, (c) R = 1 (a) Scatter diagram Explanatory (b) Scatter diagram (c) Scatter diagram Explanatory Explanatory Resporse Response ƏSuodsayPlease help!
- lecture(11.12): A large amount of scatter in a scatter plot is an indication that the relationship between the two variables is (a) negative (b) strong (c) weak (d) moderate (e) positiveMatch the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R? = 0.94, (b) R? = 0.27, (c) R? = 1 (a) Scatter diagram Explanatory (b) Scatter diagram (c) Scatter diagram Explanatory II Explanatory Response Respose OSuodsayWhat is the dollar amount of change in sales for each new year according to the regression (slope) model? Do not use commas or $ in your answer.
- Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R2=0.12, (b) R2=0.90, (a) Scatter diagram . (b) Scatter diagram . (c) Scatter diagramThe following data gives the number of employees at the bookstore and the number of minutes students wait in line to buy books at the beginning of the term. The independent variable is the number of employees and the dependent variable is the number of minutes. What is the y intercept? SSxx = 56.857; SS=2095.714; SSxy=-322.571 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square XA356899 0.96 0.93 0.91 y 67 54 47 33 31 25 12I need help I do not know how to graph this
