PART A. Solve for the Pearson Product-Moment Coefficient of Correlation.24433476548790Y34655634906547PART B. Consider the following correlation matrix:ExtraversionExtraversionNeuroticismNeuroticism0.15Agreeableness0.171AgreeablenessAll correlations based on n=50.– 0.611Write three (3) observation about the matrix.

Part (A) Create a table with column labels X, Y, XY, X2 and Y2. X Y XY X2 Y2 24 34 816 576…

Answered: PART A. Solve for the Pearson…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Does a major league baseball team's record during spring training indicate how the team will play during the regular season? Over a six-year period, the correlation coefficient between a team's winning percentage in spring training and its winning percentage in the regular season is . Shown are the winning percentages for the American League teams during a season. Team SpringTraining RegularSeason Team SpringTraining RegularSeason Baltimore Orioles 0.409 0.424 Minnesota Twins 0.492 0.542 Boston Red Sox 0.426 0.588 New York Yankees 0.579 0.559 Chicago White Sox 0.411 0.535 Oakland A's 0.690 0.468 Cleveland Indians 0.578 0.492 Seattle Mariners 0.492 0.379 Detroit Tigers 0.578 0.459 Tampa Bay Rays 0.722 0.601 Kansas City Royals 0.540 0.461 Texas Rangers 0.640 0.491 Los Angeles Angels 0.724 0.619 Toronto Blue Jays 0.442 0.533 a. What is the correlation coefficient between the spring training and the regular season winning percentages…
Using technology, what is the correlation coefficient? The weight (in pounds) and height (in inches) for a child were measured every few months over a two-year period. The results are given in the table. O -0.997 O -0.503 Weight (x) 8. 12 18 24 30 32 35 37 40 O 0.503 Height (y) 22 23 26 30 32 33 5 36 38 O 0.997
Interpret the Correlation Coefficient -0.9 It is Strong Positive It is Weak Negative It is Weak Positive It is Strong Negative
Shown below is a scatterplot of Y versus X. -10 -20 -30 -40 -50 10 15 20 25 Which choice is most likely to be the correlation coefficient between X and Y? -0.99 0.99 0.10 -0 10
Fully explain the issues and problems with the below correlational data. Focus on the data in the highlighted box versus the rest of the data. Do not try to explain the data, but rather focus on the statistical issues and problems. IF YOU CAN'T SEE THE IMAGE HERE. PLEASE GO TO THIS LINK Linke 10 6. 8. 7. 5. 4. 10 20 30 40 50 60 70 80 90 100 Age Enjoyment of Hip-Hop
B Research was conducted on the amount of training for 5K race and the time a contestant took to run the race. The researcher recorded the number of miles a contestant ran during the last month of training and the time it took the contestant to complete the 5K. The results are below. Miles Trained 66 71 83 100 110 110 Time (Minutes) 23 27 35 35 45 47 (a) Give the correlation coefficient. Round to one decimal place. (b) Use technology to write the regression equation that predicts the time it takes a contestant to complete the race by using the miles trained as the explanatory variable. Complete the missing parts of the equation below, rounding values to one decimal place. y = (c) Interpret the y-intercept in the context of this scenario. Each additional mile of training reduces the time needed to complete the 5K by 0.5 minutes. A contestant who has not trained at all in the last month can expect to complete the 5K in -6.7 minutes. Each additional mile of training reduces the time…
Part C ?
CPI represents a country’s Consumer Price Index and MS represents the country’s Money Supply (in £ billions) over a 10-year period. CPI MS 95 8 99 9 100 10 105 12 110 15 120 20 122 20 123 21 123 21 124 21 Calculate the Pearson correlation coefficient between the two variables. Comment on the strength of the relationship between CPI and MS.
Which of the following is an example of positive correlation? O a. More football you play, less weight you will gain. O b. As weather gets hotter, the cost of air conditioning increases. O C. As a car tire has more air, the car may use less gas per mile. O d. The older man gets, he may have less hair.
Based on the SPSS correlation matrix below, what do we know about the t-score value for each tested relationship?
Answer
Part b?

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