**Problem 4: Correlation and Prediction Analysis**For the information given below, find the correlation coefficient and describe the type of correlation that exists between the data. Then, find the line of best fit. If the correlation is strong, predict a single data point that is higher than those found in the table. If the correlation is not strong, then state this in a sentence.The table below lists the number of goals scored and the number of wins for the top 12 teams in the 2019-2020 English Premier League season.| GOALS | 85 | 86 | 80 | 78 | 77 | 54 | 62 | 41 | 55 | 43 | 79 | 68 ||-------|----|----|----|----|----|----|----|----|----|----|----|----|| WINS | 32 | 24 | 24 | 22 | 21 | 18 | 18 | 13 | 13 | 12 | 25 | 19 |**Instructions:**1. Calculate the correlation coefficient to determine the strength and direction of the relationship between goals scored and wins.2. Describe the type of correlation (positive, negative, or none).3. Use statistical methods to find the line of best fit.4. If the correlation is strong, make a prediction for a number of wins corresponding to a high number of goals scored not present in the table.5. If the correlation is not strong, provide a statement reflecting this observation.

Answered: 4. For the information given below,…

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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Identify the type of correlation in the following scatter plot. e Skip step McCully, Aliyah 9. 24AMCCully21C
Please help solve.
please solve A, B, and D ch 12
Please Answer Questions A through C. Correlation table is provided.
Given the scatter plot shown, determine if the correlation is positive, negative, or if there is no relative correlation. Correlation for this scatter plot: Select an answer
Jim and Larry run a soup stand. The data below represents the sales of soup that they had on 8 randomly selected days, along with the high temperature on that day. a) Create a scatter diagram for this data set and comment on whether there is a positive or negative relationship between these variables.b) Calculate the correlation coefficient between temperature and sales.c) Does a linear relationship exist between these variables? Explain to me why or why not this is the case.d) Using excel, calculate the least squares regression equation for this data set. e) Using your equation, predict the soup sales on a day where the temperature is 29 degrees.f) Interpret the slope of this equation.g) Can we use this data set and regression equation to predict the sales on a day when the average temperature is 102 degrees? Why or why not?h) What is the R-squared for this equation? How do you interpret that R-squared?
Which value of r indicates a stronger correlation: r= 0.841 or r= - 0.949? Explain your reasoning. Choose the correct answer below. O A. r= 0.841 represents a stronger correlation because -0.949 > 0.841|. B. r= - 0.949 represents a stronger correlation because -0.949|> |0.841|. C. r= - 0.949 represents a stronger correlation because 0.841 > - 0.949. D. r= 0.841 represents a stronger correlation because 0.841 > - 0.949.
Based on the given scatter diagram, choose the correct statement. a. It is a positive correlation. The more time an individual spends running, the higher their body fat tends to be. b. It is a positive correlation. The more time an individual spends running, the lower their body fat tends to be. c. It is a negative correlation. The more time an individual spends running, the higher their body fat tends to be. d. It is a no correlation. The amount of time an individual spends running has no correlation with his/her body fat tends to be. e. It is a negative correlation. The more time an individual spends running, the lower their body fat tends to be.
Please follow and copy the solution given in the example for the answer Thanks.
Many people believe that crime rate declines with age. a) Use the data below to verify whether this is true using a scatterplot. b) Is the relationship between crime rate and age strong, medium, or weak? c) Can the correlation coefficient be used to measure the extent to which crime rate is related to age? E Click the icon to view the data. a) Choose the correct scatterplot below. O A. O B. OC. OD. 20,000- 20,000- 20,000- 20,000- 0- Age Age Age Age Does it appear that the crime rate declines with age? O A. The crime rate tends to gradually increase with age. B. The crime rate tends to increase until adulthood, after which it gradually declines. OC. The crime rate tends to increase until middle age, after which it gradually declines. O D. The crime rate tends to gradually decrease with age. b) Is the relationship between crime rate and age strong, medium, or weak? O A. The scatterplot appears to show a medium relationship. B. The scatterplot appears to show a weak relationship. O C. The…
a teacher asked her students how many hours of sleep they had the night before a test. what type of correlation does your graph show? Determine a equation line of best fit BY HAND using the points 7,90 nd 6,76. hours slept : 8 7 7 8 6 5 7 4 9 7 score 83 86 74 88 76 63 90 60 89 81
Compute and interpret the coefficient of multiple correlation. Number 4 answer is missing.

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