2. The scatter diagram depicts 7 sample points for the pair, price and quantity.Given this scatter diagram, the correlation coefficient must be:a) close to zerob) close to 1c) close to 2d) close to -1e) close to -2f) close to 0.5g) close to -0.5h) equal to 11) equal to -1j) equal to 2k) equal to -2Price (S/unit)8060402020406080Quantity (units)

Correlation between two variables measure the strength and direction between two variables. It…

2. The scatter diagram depicts 7 sample points for the pair, price and quantit Given this scatter diagram, the correlation coefficient must be: a) close to zero Price (S/unit) b) close to 1 c) close to 2 d) close to -1 e) close to -2 f) close to 0.5 g) close to -0.5 h) equal to 1 ) equal to -1 j) equal to 2 k) equal to -2 8아 60 40 20 20 40 60 80 Quantity (units)

2. The scatter diagram depicts 7 sample points for the pair, price and quantit Given this scatter diagram, the correlation coefficient must be: a) close to zero Price (S/unit) b) close to 1 c) close to 2 d) close to -1 e) close to -2 f) close to 0.5 g) close to -0.5 h) equal to 1 ) equal to -1 j) equal to 2 k) equal to -2 8아 60 40 20 20 40 60 80 Quantity (units)

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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Similar questions

What is the value of the correlation coefficient r across the entire data set (all 10 students)?
In baseball, is there a linear correlation between batting average and home run percentage? Let x represent the batting average of a professional baseball player, and let y represent the player's home run percentage (number of home runs per 100 times at bat). A random sample of n = 7 professional baseball players gave the following information.
Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r. Do the results suggest that imported lemons cause car fatalities? oom 482 531 14.9 ons Lemon Imports Crash Fatality Rate 230 264 359 15.9 15.7 15.5 15.2 ct placement ercial as a pn t principle: In Construct a scatterplot. Choose the correct graph below. OB. Oc. OD. ean a lot of r OA. ry". inal persuas Ay 17- Q 17- Ay 17- 17- 16- 16- 16- 16- 15- 15- 15- 15- 14- 14- 14+ 600 14+ 200 400 600 200 400 600 200 400 60 200 400
Which of the following choices could be the Pearson correlation between the x and y variables shown in the scatter plot shown here? a) .934 b) -.934 c) 1 d) 0
2. Consider the following examples; would you expect the correlation coefficient to be close to 1, -1, or 0 (10 points): The amount of time a dog is walked, and the number of hours the dog sleeps at night Outdoor temperature and snowfall. The length of time someone wears braces and their SAT scores. 3. The following graph represents the amount of time that someone studies for their final exam, and their final examination grade (HINT) (20 points). Student 1 Student 2 Student 3 Student 4 Student 5 Student 6 Hours Studied 4 7 11 8 10 8 Final Exam Grade 55% 72% 88% 93% 91% 84% Graph the following students as ordered pairs. Let the x-axis represent the hours studied, and the y-axis represent the students’ final exam grade. Circle the value that best represents the estimate of r: (circle one) -0.99, -0.62, -0.30, 0, 0.30, 0.75, 0.85, 0.99
To measure the relation between the gender and education level, which one is the appropriate statistic? Select one: O a. Cramer's V b. Phi (f) c. Spearman's rank correlation d. Correlation coefficient e. Gamma
Match the following values of the correlation coefficients with the proper scatter plots below.
B). Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. C) Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below. A. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope. B. The scatterplot does not reveal a distinct pattern. C. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope. D. The scatterplot reveals a distinct pattern that is not a straight-line pattern. Clear
13. For the following set of 5 data points for two variables, what is the correlation coefficient? a. -0.780 c. +0.859 X - 0 3 6 4 9 Y 97 85 79 281 70 Zx -1.3 -0.4 0.5 -0.1 1.4 Z, 1.4 0.3 -0.3 -0.1 -1.3 b. -0.918 d. -0.975
4. Consider the following data: XINMASSN 1 2 3 4 5 6 7 y 6 7 5 4 3 1 2 a) Make a scatterplot of these data. The variable labeled "x" should be plotted along the x-axis. Describe the pattern. b) Find the correlation coefficient for these data.
4.) A person's muscle mass is expected to decrease with age. To explore this relationship, a researcher randomly selected 10 persons from ages 40 to 79 years old and measured their muscle mass (unit). The result is as follows: X (age) Y (muscle mass) 71 64 43 67 56 73 68 56 76 65 82 91 100 68 87 73 78 80 65 84 Based on the given data, do the following: a) Plot the scatter diagram of the given data. [3pts] b) Obtain the regression line equation. [4pts] c) Estimate the muscle mass when age of the person is 60 years old. [3pts] 5.) Recognize how each shape has transformed. [2pts each] a.) b.) c.)
The scatter plot above displays data on the number of defects per 100 cars and a measure of customer satisfaction (on a scale from 1 to 1000, with the highest scores indicating greater satisfaction) for the 33 brands of cars sold in the United States in 2009. Which of the following is the value of the correlation coefficient for this data set? A) r = -0.95 B) r = -0.24 C) r = 0.83 D) r = 1.00