Circle the correct response: y is used as the predicted value when the linear correlation coefficient p is EQUAL/NOT EQUAL to zero.
Answer: y is used as the predicted value when the linear correlation coefficient p is NOT EQUAL to zero.
Explanation:
We know that when we reject the null hypothesis that linear correlation coefficient p = 0, then we conclude that there is statistically significant relationship exists between the given variables. That is, the value of the linear correlation coefficient is different than zero. If the value of linear correlation coefficient is zero, then there is no any correlation or relationship exists between given variables. This means, we can use the regression equation for the prediction of dependent variable y, if the linear correlation coefficient p is NOT EQUAL to zero.
Circle the correct response: y is used as the predicted value when the linear correlation coefficient...
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axis are the same for each scatter diagram (a)r= - 1. (b) r= -0.992, (c) r= -0.049 Response (a) Scatter diagram Explanatory (b) Scatter diagram (c) Scatter diagram Response Question Explanatory Response Explanatory Match the linear correlation coefficient to the scatter diagram. r= -0.025 Choose the correct graph below. ОА. ОВ. OC. OD 2 wody ..: E E Explanatory Explanatory Explanatory Explanatory Click to select...
For a simple linear regression results shown below, the P-value for the slope coefficient is as follows: a hypothesis test of whether the regression coefficient ß1 is zero. a measure that determines if the linearity assumption is satisfied a hypothesis test of whether the regression coefficient for Advertising is equal to 6.738. the variability of the observed Y-values from the predicted values.
What is the critical value for the linear correlation coefficient, r, for a sample of size n = 15 with α = .01 ? (Round to the nearest thousandth. The linear correlation coefficient for a set of paired variables is r = .897. What proportion of the variation in y can be explained by the linear relationship between x and y? (Type the percentage rounded to the nearest hundredth without the % sign. The linear regression equation for a set...
For a simple linear regression results shown below, the P-value for the slope coefficient is as follows: A) a hypothesis test of whether the regression coefficient ß1 is zero. B) a measure that determines if the linearity assumption is satisfied C) a hypothesis test of whether the regression coefficient for Advertising is equal to 6.738. D) the variability of the observed Y-values from the predicted values.
find the coefficient of determination, given that the value of the linear correlation coefficient, r, is -0.451 D Question 8 1 pts Find the coefficient of determination, given that the value of the linear correlation coefficient, r, is -0.451. O 0.451 O 0.797 O 0.549 O 0.203
Find the value of the linear correlation coefficient r.x: 57 53 59 61 53 56 60____________________________________y: 156 164 163 177 159 175 151-0.0540.2140.109-0.078
What are the steps for the correct answer? Find the value of the linear correlation coefficient r. The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands) 35 83 Cost 92 3 4259 10 Number 85 52 55 68 67 86 83 73 O A.-0.071 O B. 0.708 O c. 0.235 OD. 0.246
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axis are the same for each scatter diagram. (a)r= 0.523, (b)r= 1, (c) r=0.946 Response (a) Scatter diagram Explanatory (b) Scatter diagram (c) Scatter diagram II Response Explanatory Response TIL Explanatory
17. Explain how you found the linear correlation coefficient. Find the value of the linear correlation coefficient r. Points: 5 17) The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Hours 5 10 4 6 10 9 Score 64 86 69 86 59 87 D) 0.224 C) 0.678 B) -0.678 A) -0.224 Explain how you found the linear correlation coefficient.