Regression equation and correlation calculated by Minitab, which is correct.
please answer all parts 1 Critical Values of the Pearson Correlation Coefficient Critical Values of the...
Suppose IQ scores were obtained from randomly selected couples. For 20 such pairs of people, the linear correlation coefficient is 0.877 and the equation of the regression line is y= -14.38 + 1.14x, where x represents the IQ score of the wife. Also, the 20x values have a mean of 105.21 and the 20y values have a mean of 105.1. What is the best predicted IQ of the husband, given that the wife has an IQ of 91? Use a...
Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x = 100.12, y = 100.8, r=0.869, P-value = 0.000, and y = 3.57 +0.97x, where x represents he IQ score of the husband. Find the best predicted value of y given that the husband has an IQ of 94? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best...
Critical Values of the Pearson Correlation Coefficient r n α=0.05 α=0.01 NOTE: To test H0: ρ=0 against H1: ρ≠0, reject H0 if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468...
Critical Values for the Correlation Coefficient n alpha = .05 alpha = .01 4 0.95 0.99 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.59 19 0.456 0.575 20 0.444 0.561 25 0.396 0.505 30 0.361 0.463 35 0.335 0.43 40 0.312 0.402 45 0.294 0.378 50...
Critical Values for the Correlation Coefficient n alpha = .05 alpha = .01 4 0.95 0.99 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.59 19 0.456 0.575 20 0.444 0.561 25 0.396 0.505 30 0.361 0.463 35 0.335 0.43 40 0.312 0.402 45 0.294 0.378...
Find the regression equation letting overhead with be the predictor(s) variable. Find the best predicted weight of a seal the overhead width moured from a photograph is 16 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 84 79 82 7.8 Weight (kg) 201 209 190 181 200 Click the loon to view the critical values of the Pearson correlation coeficient The regression equation...
Suppose IQ scores were obtained from randomly selected siblings. For 20 such pairs of people, the linear correlation coefficient is 0.916 and the equation of the regression line is ý = - 3.14 +1.02x, where x represents the IQ score of the younger child. Also, the 20 x values have a mean of 103.21 and the 20 y values have a mean of 102.1. What is the best predicted IQ of the older child, given that the younger child has...
The data show the number of viewers for beint with cortan sabanes Find the regression equation ng Find the best predicted number of viewers for a l on s halary of 56 milion is the results Viewer millions Click the icon to www the real values of the Pearson correlation coefficient What is the regression equation? . Round to the decinal places needed What is the best predicted number of es for a lesions with a salary of 56 milio...
The data show the time intervals after an eruption (to the next eruption) of a certain geyser. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted time of the interval after an eruption given that the current eruption has a height of 144 feet. Use a significance level of 0.05. Height (ft) 115 133 137 140 99 112 108 126 Interval after (min) 75 85 94 85 66 88 68 82 Critical...
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 44 inches. Is the result close to the actual weight of 213 pounds? Use a significance level of 0.05. Chest size (inches) 50 41 45 52 45 45 Weight (pounds) 321 221 265 335 307 265 Critical Values of the Pearson Correlation coefficient...