The linear correlation coefficientis r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P H₁: PV (Type integers or decimals. Do not round.) The test statistic is t= (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Candidate Heights President 179 187 184 180 180 179 188 185 172 182 193 186 187 185 Opponent 185 179 186 174 176 178 181 180 188 175 173 188 186 170 Because the P-value of the linear correlation coefficient is the heights of winning presidential candiates and the heights of their opponents. the significance level, there Print Done - X sufficient evidence to support the claim that there is a linear correlation between

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Need asap please. Just need help with Part b.

Right arm 102 101 94 79 79 Left arm 175 169 182 146 144   If the sample data were to result in the scatterplot shown here, what is the value of the linear correlation coefficient r?

he 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 51 inches. Is the result close to the actual weight of 4 punds? Use a significance level of 0.05. thest size (inches) Veight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. 45 43 43 52 52 352 374 275 314 440 367 Critical Values of the Pearson Correlation Coefficient r What is the regression equation? Critical Values of the Pearson Correlation Coefficient r a = 0.05 NOTE: To test Ho: p=0 against H, p#0, reject Ho if the absolute value of r is greater than the critical value in the table. y%3= x (Round to one decimal place as needed.) a = 0.01 4 0.950 0.990 0.878 0.959 0.811 0.917 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 0.606 0.590…

Two separate tests are designed to measure a student's ability to solve problems. Several students are randomly selected to take both tests and the results are shown below.    Test A (x) 43   65 73 34 99 78 65 Test B (y) 39 60 62 20 85 70 54   1. Calculate r, the linear correlation coefficient.  Identify the values for each part below. Part a.   The value of n   Part b.   The sum of the x-values  Part c.   The sum of the y-values  Part d.    The sum of the x-squared values   Part e.    The sum of the y-squared values   Part f.    The sum of the (xy) values   Part g.    The final value of r rounded top three decimal places

A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below.   Time 25 8 24 6 18 16 7 12 Money 82 18 106 40 64 50 22 60     The null and alternative hypotheses for correlation are:H0:H0: ? r μ ρ Correct = 0H1:H1: ? ρ r μ Correct  ≠ 0    The p-value is:            (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the use of the regression line is not appropriate. There is statistically insignificant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends…

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If the null hypothesis is true in a test of the Pearson’s correlation between X and Y, then __________.   a. higher scores of X are paired with higher scores of Y   b. none of mentioned here   c. higher scores of X are paired with low and high scores of Y   d. higher scores of X are paired with lower scores of Y   e. lower scores of X are paired with higher scores of Y