Use the model to predict the amount of money spent by a customer who spends 11 minutes at the store. Dollars spent = (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context of the question: The slope has no practical meaning since you cannot predict what any individual customer will spend. For every additional minute customers spend at the store, they tend to spend on averge $3.23 more money at the store. As x goes up, y goes up. Interpret the y-intercept in the context of the question: The average amount of money spent is predicted to be $4.75. The y-intercept has no practical meaning for this study. If a customer spends no time at the store, then that customer will spend $4.75. The best prediction for a customer who doesn't spend any time at the store is that the customer will spend $4.75.
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.
- Use the model to predict the amount of money spent by a customer who spends 11 minutes at the store.
Dollars spent = (Please round your answer to the nearest whole number.) - Interpret the slope of the regression line in the context of the question:
- The slope has no practical meaning since you cannot predict what any individual customer will spend.
- For every additional minute customers spend at the store, they tend to spend on averge $3.23 more money at the store.
- As x goes up, y goes up.
- Interpret the y-intercept in the context of the question:
- The average amount of money spent is predicted to be $4.75.
- The y-intercept has no practical meaning for this study.
- If a customer spends no time at the store, then that customer will spend $4.75.
- The best prediction for a customer who doesn't spend any time at the store is that the customer will spend $4.75.
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