The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is provided.
Y Dependent Variable |
15 |
17 |
23 |
17 |
I. The least-squares estimate of the slope equals:
II. The least-squares estimate of the intercept equals:
III. If the independent variable increases by 2 units, the dependent variable is expected to
a. decrease by $300
b. decrease by $3000
c. decrease by $3
d. decrease by $2
e. none of the above
The letter corresponding to the answer is: .
IV. The sample correlation coefficient equals:
V. The coefficient of determination equals:
VI. What can we say about the linear association between X and Y?
a. There is a perfect positive linear relationship between the two variables.
b. There is a strong positive linear relationship between the two variables.
c. There is a strong negative linear relationship between the two variables.
d. There is a moderate positive linear relationship between the two variables.
The letter corresponding to the answer is: .
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is...
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is provided. Y Dependent Variable 15 17 23 17 I. The least-squares estimate of the slope equals: II. The least-squares estimate of the intercept equals: III. If the independent variable increases by 2 units, the dependent variable is expected to a. decrease by $300 b. decrease by $3000 c. decrease by $3 d. decrease by $2 e. none of the above The letter corresponding...
You are given the following information about Y and X Y(Dependent Variable) X(Independent Variable) The least squares estimate of b1 (slope) equals: • Previous Next MacBook Pro F C Search or type URL W
Case 1 The following information regarding a dependent variable Y and an independent variable X is provided. ZX-16 Σ(X-x)(Y-Y) SST-42 n=4 SSE 34 Refer to case 1. The slope of the regression function is 0.1 Refer to case 1. The slope of the regression function is Refer to case 1. The slope of the regression function is Refer to case 1. The slope of the regression function is -1 Refer to Case 1. The Y intercept is 0.1 Refer to...
Exhibit 12-2 You are given the following information about y and x. y x Dependent Independent Variable Variable 5 15 7 12 9 10 11 7 Refer to Exhibit 12-2. The least squares estimate of b 0 equals -0.1125 13.75 16.412 -7.647
2, It is known that the quantitative relationship between the dependent variable Y and the independent variables X and 2 is: A. Make a Table and draw the graph of the relationship between Y and X when the numerical value of Z is: B. Make a Table and draw the graph of the relationship between Y and Z when the numerical value of X is: C. Make a Table of the value of the rate of change of Y with...
2, It is known that the quantitative relationship between the dependent variable Y and the independent variables X and 2 is: A. Make a Table and draw the graph of the relationship between Y and X when the numerical value of Z is: B. Make a Table and draw the graph of the relationship between Y and Z when the numerical value of X is: C. Make a Table of the value of the rate of change of Y with...
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...
You are given the following information about Y and X. Dependent Variable Independent Variable The sample correlation coefficient equals: 0.5 01 - Previous Q Search or type URL
Suppose we developed the following least squares regression equation: can we conclude? What The dependent variable increases 3.5 for each unit increase in X.! The equation crosses the Y-axis at 2.1. If X= 5, then is 14. There is a significant positive relationship between the dependent and independent variables.
The β 1 term indicates a. the Y value for a given value of X. b. the average change in Y for a unit change in X. c. the Y value when X equals zero. d. the change in observed X for a given change in Y. What does regression analysis attempt to establish? a. linearity in the relationship between independent variables b. a mathematical relationship between a dependent variable, for which future values will be forecast, and one or...