Homework Answers
Answer 1: x and y are strongly correlated, and y tends to increase as x is decreased.
Answer 2: x and y are strongly correlated, and y tends to increase as x is increased
Answer 3: y=0.19*55-2.73
=$7.72
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Question 1 1 pts The equation of the regression line between two variables x (independent variable)...
orrect Question 7 0/1 pts The amounts of 6 restaurant bill x (in dollars) and the...
orrect Question 7 0/1 pts The amounts of 6 restaurant bill x (in dollars) and the corresponding amounts of the tips y (in dollars) are given below Bill 32.98 49.72 70.29 97.34 43.58 52.44 Tip 4.50 5.28 10.00 16.00 5.50 7.00 The regression equation is ý = 0.19.2 - 2.73, and the coefficient of determination r2 = 0.97. Based on the given r, which of the following conclusions may be made? Hint: Correlation is r, we are given p2. Thus...
The equation of the regression line between two variables x (independent variable) and y (dependent variable)...
The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by y-hat = -3x + 2; and the correlation coefficient is r = -.95. The possible x-values range from 1 to 10. Which of the following statements are correct? I. The variable y is strongly positive correlated to the variable x. II. The variable y is strongly negative correlated to the variable x. III. If x = 5, one would predict that...
I need help with the last part of question (e) (1 point) The amounts of 6...
I need help with the last part of question (e)
(1 point) The amounts of 6 restaurant bills and the corresponding amounts of the tips are given in the below. Assume that bill amount is the explanatory variable and tip amount the response variable. Bill Tip 106.27 16.00 97.34 16.00 52.44 7.00 70.29 88.01 32.98 10.00 10.00 4.50 (a) Find the correlation:r = 0.948 (b) Does there appear to be a significant correlation? A. Yes B. No (C) The regression...
In a simple linear regression study between two variables x ( the independent variable) and y...
In a simple linear regression study between two variables x ( the independent variable) and y (the dependent variable), a random large sample is collected and the coefficient of correlation r = −.98 is calculated. A)Which of the following conclusion may be made? Group of answer choices x and y are almost perfectly correlated, and y increases as x is increased. x and y are almost perfectly correlated, and y decreases as x is increased. x and y are moderately...
Question 14 The regression line equation between two variables is given as: y -2.03 x 19.8...
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 |
21. A regression analysis between demand (y in 1000 units) and price (x in dollars) resulted in the following equation y-hat 9- 3x The above equation implies that if the price is increased by $1, the...
21. A regression analysis between demand (y in 1000 units) and price (x in dollars) resulted in the following equation y-hat 9- 3x The above equation implies that if the price is increased by $1, the demand is expected to increase by 6 units decrease by 3 units decrease by 6,000 units decrease by 3,000 units a. c. d. 22. (12) An experimenter wishes to test if there is a significant difference in the average quality rating of wines from...
Question 1: Compute the linear regression equation (coefficients) between the “year” variable and the “temperature” variable. In other words, the dependent variable will be the temperature and the ind...
Question 1: Compute the linear regression
equation (coefficients) between the “year” variable and the
“temperature” variable. In other words, the dependent variable will
be the temperature and the independent variable will be “year”
variable. Write down the equation, the correlation coefficient
R and the standard error.
Question 2.
a. Has the annual temperature trend given by
the regression line increased or decreased? Hint: Which of the
regression line coefficients expresses whether the linear
relationship between temperature and time (in years)...
Question 1 4.5 pts Given are five observations for two variables, x and y. 3 2...
Question 1 4.5 pts Given are five observations for two variables, x and y. 3 2 7 h. Compute the mean square error (MSE) O 3.875 4.133 4.421 4.312 i. Compute the standard error of the estimate 2.326 1.895 2.033 2.213 j. Compute the estimated standard deviation (standard error) of bu 0.643 0.697 0.568 O 0.713 k. Test for a significant relationship using the t test. Compute the value of the test statistic and the p-value. At a = 0.05,...
orrect Question 7 0/1 pts The amounts of 6 restaurant bill x (in dollars) and the corresponding amounts of the tips y (in dollars) are given below Bill 32.98 49.72 70.29 97.34 43.58 52.44 Tip 4.50 5.28 10.00 16.00 5.50 7.00 The regression equation is ý = 0.19.2 - 2.73, and the coefficient of determination r2 = 0.97. Based on the given r, which of the following conclusions may be made? Hint: Correlation is r, we are given p2. Thus...
I need help with the last part of question (e)
(1 point) The amounts of 6 restaurant bills and the corresponding amounts of the tips are given in the below. Assume that bill amount is the explanatory variable and tip amount the response variable. Bill Tip 106.27 16.00 97.34 16.00 52.44 7.00 70.29 88.01 32.98 10.00 10.00 4.50 (a) Find the correlation:r = 0.948 (b) Does there appear to be a significant correlation? A. Yes B. No (C) The regression...
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 |
21. A regression analysis between demand (y in 1000 units) and price (x in dollars) resulted in the following equation y-hat 9- 3x The above equation implies that if the price is increased by $1, the demand is expected to increase by 6 units decrease by 3 units decrease by 6,000 units decrease by 3,000 units a. c. d. 22. (12) An experimenter wishes to test if there is a significant difference in the average quality rating of wines from...
Question 1: Compute the linear regression
equation (coefficients) between the “year” variable and the
“temperature” variable. In other words, the dependent variable will
be the temperature and the independent variable will be “year”
variable. Write down the equation, the correlation coefficient
R and the standard error.
Question 2.
a. Has the annual temperature trend given by
the regression line increased or decreased? Hint: Which of the
regression line coefficients expresses whether the linear
relationship between temperature and time (in years)...
Question 1 4.5 pts Given are five observations for two variables, x and y. 3 2 7 h. Compute the mean square error (MSE) O 3.875 4.133 4.421 4.312 i. Compute the standard error of the estimate 2.326 1.895 2.033 2.213 j. Compute the estimated standard deviation (standard error) of bu 0.643 0.697 0.568 O 0.713 k. Test for a significant relationship using the t test. Compute the value of the test statistic and the p-value. At a = 0.05,...
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