A regression equation that describes the relationship between the amount of the bill ($) at a restaurant and the tip ($) that was left is: Tip = 2.9 + 0.1 Bill
Ignoring the intercept...does the slope of the equation suggest that customers, on average, are tipping at least 15%? Why or why not?
The correlation between these two variables is 0.586. Assuming a scatterplot does confirm a linear relationship between the variables, COMPLETELY describe the relationship between the variables based on the correlation. (Hint: You should provide at least three key words to describe the relationship.)
The regression coefficient is 0.1 which means, on average with a unit change in the bill there will be 0.1 change in the tip.
That means if Bill is increased by $1 then the Tip will be increased by $0.1 (or 10% )
The correlation between these two variables is 0.586 which is a positive correlation. That means if Bill amount is increased, the Tip amount will also be increased.
Thank You.
A regression equation that describes the relationship between the amount of the bill ($) at a...
In testing for correlation between two variables, the best fitting line is often call the regression equation and denoted as SELECT ALL APPLICABLE CHOICES D) E) None of these In testing for correlation the relationship between two variables, the best fitting line is often call the regression equation and denoted as SELECT ALL APPLICABLE CHOICES bi C) D) What formula is used to compute the slope of this line and its y intercept?
1) The scatterplot displays the relationship between husbands' and wives' ages in a random sample of 170 married couples in Britain, where both partners' ages are below 65 years. The regression equation is y= 1.5740 0.9112x 60- res 60 Husband's age in years) (a) Describe the relationship between the husband's age and the wife's age. Your description should include direction, form, and strength. Solution to (a): (b) Identity the slope of the regression equation, and write a sentence to interpret...
In testing for correlation the relationship between two variables, the best fitting line is often call the regression equation and denoted as SELECT ALL A A) B) C) D) What formula is used to compute the slope of this line and its y intercept? E)
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Consider the following Excel regression output of Data Analysis (picture is autornaic) SUMMARY OUTPUT six data points on a restaurant bill and corresponding tip Bill Line Fit Plot 0.828159148 R Square 0.685847574 0.607309468 Adjusted R Square Standerd Error Predicted Tip 15e 100 ANOVA 0.041756749 93.1383292 42.66200414 135.8003333 93 1383292 10.60550103 8.732672652 Total Upper 95% tener 95% Prok 0933934844 0.041756749 Error 10.58103503 0.288243157 1.27559337 0.008985139 0.347279172 0.148614148 3.936081495 0.050290571 -0.06822967 2.955109584 Bitl (e) Positive correlation of 0.83 -strong corlation. Percentage of...
Consider a two-dimensional scatterplot representing the relationship between two continuous variables. If the correlation coefficient is -1, then: a. All points lie in a straight line with a slope of -1. b. All points lie in a straight line with an unknown negative slope. c. All points do not lie in a straight line but the best fitting regression line has a slope of -1. d. There is a strong positive relationship between the two variables.
Which of the following statements regarding regression and correlation are true? (There may be more than one correct answer.) a. If the linear correlation between two variables is 0, then there is no relationship between the two variables. b. When the slope of a linear regression equation is near 0, then the linear correlation between the two variables must also be near 0. c. The average error between the actual values and the predicted values of a least squares line...
Question 14 The regression line equation between two variables is given as: y -2.03 x 19.8 The slope of the regression line is The y-intercept of the regression line is The value of y whenx = 3 is | Question 14 The regression line equation between two variables is given as: y -2.03 x 19.8 The slope of the regression line is The y-intercept of the regression line is The value of y whenx = 3 is |