Weight (pounds) Cost $17.06 $23.78 $26.84 The accompanying table shows a list of the weights and costs of some turkeys at different supermarkets. Complete parts (a) through () below. 12.4 18.4 20.7 16.8 15.2 $19.76 $23.24 10.4 $9.05 Report the intercept of the regression line and explain what it shows. Select the correct choice below and fiIl in the answer box(es) to complete your choice. (Round to two decimal places as needed.) OA. The intercept is.A turkey that weighs 0 pounds has a predicted average cost of $ OB. The intercept is.A free turkey has a predicted average weight of pound(s). OC. The intercept is. The interpretation of the intercept is inappropriate, because it is not possible to have a turkey that weighs 0 pounds. OD. The intercept is. The interpretation of the intercept is inappropriate, because it is not possible to have a free turkey. e. Add a new point to the data, a 30-pound turkey that is free. Give the new value for r and the new regression equation. Explain what t the negative correlation implies. What happened? State the new value for r. r"O (Round to three decimal places as needed.) Determine the new regression equation. Predicted Cost =D+ (O Weight (Round to two decimal places as needed.) What does the negative correlation imply? O A. A negative correlation suggests that there is no association between the size of a turkey and its cost. OB. A negative correlation suggests that larger turkeys tend to have a higher cost. OC. A negative correlation suggests that larger turkeys have the same cost as smaller turkeys. OD. A negative correlation suggests that larger turkeys tend to have a lower cost. What happened when the new data point was added? OA. The results with the new point are similar to the results without the new data point. The 30-pound free turkey slightly affected the results. OB. While the 30-pound free turkey was an outlier, the results with the new point are the same as the results without the new data point. OC. The results with the new point are the same as the results without the new data point. The 30-pound free turkey was not an outlier, and did not affect the results. OD. The 30-pound free turkey was an influential point, which significantly changed the results. 1. Find and interpret the coefficient of determination using the original data. The coefficient of determination is %. (Round to one decimal place as needed.) Interpret the coefficient of determination. Select the correct choice below and fill in the answer box to complete your choice. (Round to one decimal place as needed.) OA.% % of the variation in the weight of the turkeys is explained by the cost. O B. % of the time, an increase in the weight of a turkey is associated with an increase in cost. OC. OG. % of the variation in cost is explained by the weight of the turkeys.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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