The sample correlation coefficient between X and Y is 0.375. It has been found out that the p-value is 0.256 when testing Ho: p = 0 against the two-sided alternative H1: p not equal to 0. To test Ho :p: O against the one-sided alternative H1: p > 0 at a significance level of 0.193, the p-value is O0.256 /2 O (0.256) 2 O 1-0.256 O 1-0.256 / 2
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- 100 adults from Coachella were randomly selected to participate in a study on the correlation between height in cm and weight in kg. Their heights had a range of 133 to 194 cm and their weights had a range from 38 to 150 kg. the 100 paired measurements had an average height of x bar= 167.87 and a weight average of ybar = 81.57. Also, relevant values between the two were r= 0.292, the p-value was 0.003 and y hat was 102+1.05x. Find the best predicted value y hat for the weight of someone who is 180cm all. Use a 0.1 significance level. We Can or cant use the regression equation ere? What would that estimate their weight to be?The sample correlation coefficient between X and Y is 0.375. It has been found out that the p-value is 0.744 when testing Ho :p = 0 against the one-sided alternative H1:p < 0. To test Ho:p = 0 against the two-sided alternative H1: p not equal to 0. at a significance level of 0.193, the p-value is 0.744 /2 O (0.744) 2 O 1-0.744 O (1 -0.744) 2Critical Values of the Pearson Correlation Coefficient r Critical Values of the Pearson Correlation Coefficient r n x=0.05 α=0.01 NOTE: To test Ho: p=0 against H,: p0, reject Ho 4 0.950 0.990 5 0.878 0.959 If the absolute value of ris greater than the critical 6 0.811 0.917 7 0.754 0.875 value In the table. 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 0.590 19 0.456 0.575 20 0.444 0.561 25 0.396 0.505 30 0.361 0.463 35 0.335 0.430 40 0.312 0.402 45 0.294 0.378 50 0.279 0.361 60 0.254 0.330 70 0.236 0.305 80 0.220 0.286 90 0.207 0.269 100 0.196 0.256 n a=0.05 a=0.01 Print SA Done M tv A - X Time Rem
- A random sample of 50 COS students contained 13 that owned an iPhone. A random sample of 200 Fresno State students contained 70 that owned an iPhone. Use these data to test the claim that the proportion of COS students who own an iPhone is the same as the proportion of Fresno State students who own an iPhone at the 0.05 level of significance.B. The linear correlation coefficient r is ___ The critical values are r=___ C. Because the absolute value of the linear correlation coefficient is (greater/ less) than the positive critical value, there (is/ is not) sufficient evidence to support the claim that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals for a significance level of α=0.05.9) determine the critical values of the (r)and use your finding to state whether or not the given (r) represents a significant linear correlation. significance level = .05 r = .398 ñ = 17
- Suppose IQ scores were obtained for 20 randomly selected sets of twins. The 20 pairs of measurements yield x= 103.44, y= 102.45, r 0.959, P-value = 0.000, and y =-9.9+ 1.09x, where x represents the IQ score of the %3D %3D twin born first. Find the best predicted value of y given that the twin born first has an IQ of 95? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y is (Round to two decimal places as needed.)Suppose IQ scores were obtained for 20 randomly selected sets of twins. The 20 pairs of measurements yield x= 99.11, y = 100.1, r=0.872, P-value = 0.000, and y = 7.99 +0.93x, where x represents the IQ score of the twin bom first. Find the best predicted value of y given that the twin born first has an IQ of 96? Use a significance level of 0.05. 1 Critical Values of the Pearson Correlation Coefficient r E Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y is. Critical Values of the Pearson Correlation Coefficient r a = 0.01 NOTE: To test Ho: p=0 against H,: p#0, reject H, if the absolute value of r is greater than the critical value in the table. (Round to two decimal places as needed.) a = 0.05 4 0.950 0.990 0.878 0.959 0.811 0.917 0.754 0.875 0.834 0.798 0.765 0.735 0.708 8 0.707 9 0.666 10 0.632 11 0.602 0.576 0.553 12 0.684 13 0.661 0.641 0.623 0.606 14 0.532 0.514 15 16 17 0.497 0.482 0.468 0.456 0.444 0.590 0.575…Suppose IQ scores were obtained for 20 randomly selected sets of twins. The 20 pairs of measurements yield x=94.01, y=90.85, r=0.858, P-value=0.000, and y=−1.94+0.99x, where x represents the IQ score of the twin born first. Find the best predicted value of y given that the twin born first has an IQ of 103? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y is ________. (Round to two decimal places as needed.) 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…
- Suppose IQ scores were obtained for 20 randomly selected sets of t twin born second has an IQ of 110? Use a significance level of 0.05 Click the icon to view the critical values of the Pearson correlati The best predicted value of y is (Round to two decimal places as needed.) Critical Values of the Pearson Correlation Coefficient r n 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 45 50 60 70 80 90 100 n Critical Values of the Pearson Correlation Coefficient r α=0.05 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 0.312 0.294 0.279 0.254 0.236 0.220 0.207 0.196 α=0.05 =0.01 0.990 0.959 0.917 0.875 0.834 0.798 0.765 0.735 0.708 0.684 0.661 0.641 0.623 0.606 0.590 0.575 0.561 0.505 0.463 0.430 0.402 0.378 0.361 0.330 0.305 0.286 0.269 0.256 x=0.01 NOTE: To test H: p=0 against H₁: p#0, reject H, if the absolute value of ris greater than the critical value in the table. - x x represents the IQ score of the…Suppose IQ scores were obtained for 20 randomly selected sets of twins. The 20 pairs of measurements yield x = 102.36, y = 104.7, r=0.949, P-value = 0.000, and y = 0.27 + 1.02x, where x represents the IQ score of the twin born first. Find the best predicted value of y given that the twin born first has an IQ of 99? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y is (Round to two decimal places as needed.)Suppose IQ scores were obtained for 20 selected sets of twins. The 20 pairs of measurements yield x= 103.22, y=105.7, r=0.947, P-value=0.000, and y=-12.53 1.15x, where x represents the IQ score of the twin bom first. Find the best predicted value of y given that the twin bom first has an IQ of 92? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r The best predicted value of is (Round to two decimal places as needed.)