Assume you are a psychologist studying the relationship between chocolate consumption and happiness. You ask 10 participants to rate how much chocolate (in ounces) they ate in the last week, and how happy they felt throughout the week on the average, on a scale ranging from 1 (extremely unhappy) to 10 (extremely happy). You hypothesize that there is some relationship between chocolate consumption and happiness. Here are their scores:| Participant # | Chocolate eaten during week (oz) | Happiness rating ||---------------|-----------------------------------|------------------|| 1 | 5 | 3 || 2 | 6 | 9 || 3 | 3 | 7 || 4 | 7 | 6 || 5 | 4 | 4 || 6 | 6 | 8 |This data could be used to analyze whether there is a correlation between chocolate intake and reported happiness levels. The image displays a table with two columns of numbers, followed by a multiple-choice question about statistical hypotheses.Data Table:- Column 1: 7, 8, 9, 10- Column 2: 10, 6, 2, 1Multiple-Choice Question:"Which of the following are the correct statements of the null and alternative hypotheses, H₀ and Hₐ, where ρ is 'rho', the population correlation coefficient between X and Y?"Options:- ○ H₀: ρ = 0 and Hₐ: ρ ≠ 0- ○ H₀: ρ ≠ +1.0 and Hₐ: ρ = +1.0- ○ H₀: ρ > 0 and Hₐ: ρ ≤ 0- ○ H₀: ρ ≤ 0 and Hₐ: ρ > 0- ○ H₀: ρ ≠ 0 and Hₐ: ρ = 0There are no graphs or diagrams included.

It is given that the data of chocolate consumption and happiness.

Answered: Which of the following are the correct…

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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1. When would you choose to conduct a Pearson’s r? 2. What are some reasons two variables may not have a significant correlation?
The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a = 0.01. Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. O A. OB. Best Actor (years) 70- 20- 20 70 Best Actress (years) Best Actor (years) The linear correlation coefficient is r= (Round to three decimal places as needed.) xample Get more help. 70- ||||||||| THHHH 20+ 20 Best Actr 11111 H ||||||||| Qu 70 Q *** Best Actor (years) C. 20+ 20 P +||||| HHHH 70 Best Actresses and Best Actors 29 Best Actress 29 30 29 59 32 32 43 Best Actor 45 37 40 43 49 50 59 48 O D. Best Actor (years) 64 37 70- 20+ 20 D M 23 42 53 55 43…
Which of the following correctly states the null hypothesis? Ho: There is no correlation between cognitive reflectivity and gray-matter density Ho: There is a correlation between cognitive reflectivity and gray-matter density Ho: Gray matter density is independent of cognitive strategies Ho: Gray matter density is dependent on cognitive strategies Ho: The two groups are equivalent or cannot be distinguished.
1. If there is a strong correlation between two variables X and Y, then X causes Y or Y causes X. O True O False
Which of the following statements concerning the linear correlation coefficient are true? I: If the linear correlation coefficient for two variables is zero, then there is no relationship between the variables. II: If the slope of the regression line is negative, then the linear correlation coefficient is negative. III: The value of the linear correlation coefficient always lies between −1 and 1. IV: A linear correlation coefficient of 0.62 suggests a stronger linear relationship than a linear correlation coefficient of minus−0.82. A. II and III B. I and II C. III and IV D. I and IV
O REGRESSION AND CORRELATION Linear relationship and the sample correlation coefficient Shas Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. y 11 10- 94 S- 1.0 6.7 1.0 7.4 10- 2.0 9.4 2.0 9.1 3.0 4.0 3.0 7.0 4.0 9.1 6+ 4.0 5.3 5- 5.0 4.7 5.0 8.0 4. 3 2- 7.0 6.4 6.0 1.7 6.0 5.1 7.0 | 4.6 8.0 10.1 9.0 5.1 8.0 6.5 9.0 5.7 10.0 3.7 10.0 8.0 | Figure 1 Figure 2 t 1.0 3.2 1.0 1.0 2.0 2.0 2.0 4.2 3.0 3.3 3.0 3.0 4.0 4.9 4.0 4.0 5.0 4.5 5.0 5.0 6.0 6.8 6.0 6.0 7.0 5.8 7.0 7.0 8.0 7.3 8.0 8.0 9.0 6.6 9.0 9.0 10.0 8.2 Figure 3 10.0 10.0 Figure 4 Explanation Check e 2021 McGraw-H Education. All Rights Reserved. Terms of Use I Privacy Accessibilty P Type here to search
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The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of = 0.05. E Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. OA. OB. Oc. OD. 70- 70- Q 70- 70- ... ++++++ 20 - 20 Best Actress (years) 20- 70 20 Best Actress (years) 20- 20 Best Actress (years) 70 20 Best Actress (years) 70 70 Best Actresses and Best Actors Best Actress 27 29 30 58 33 34 46 30 62 22 44 51 D Best Actor 44 36 38 44 53 46 56 49 41 52 44 33
2. Which of the following values cannot be a correlation coefficient? Group of answer choices -.274 1.473 -.650 .615
Which of the following is true regarding weak correlation coefficients? a. They indicate a slight causation between variables. b. They are found only with Pearson r coefficients. c. They may be the result of restricted range for one of the variables. d. They are rarely found in social science research.
Using a sample that has n=50 pair of data, we get a correlation coefficient r=-0.269 for the following null and alternative hypotheses determine and compute the test statistic value: HO: p=0 H1: pe 0 O a t=7.51 O b. z=7.51 O o.z=-0. 16 Odt=-1.08

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Which of the following are the correct statements of the null and alternative hypotheses, Ho and HA, where p is "rho", the population correlation coefficient between X and Y? HO: p = 0 and HA: p = 0 HO: p +1.0 and HA: p = +1.0 HO:p> 0 and HA: p ≤ 0 HO: p = 0 and HA: p > 0 HO: p= 0 and HA: p = 0.