6. A Pearson's r correlation coefficient w/ a negative sign implies that:O As the explanatory variable decreases, the response variable increasesO As the explanatory variable decreases, the response variable decreasesO As the independent variable increases, the dependent variable increasesO As the independent variable increases, the dependent variable does not change

The question is about interpretation of correlation coefficient Given : Pearson's r w / a negative…

Answered: 6. A Pearson's r correlation…

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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21) Which of the following statements regarding the correlation coefficient is false? A) The correlation coefficient is a value between - 1 and 1. B) A correlation coefficient of - 1 means that as one variable increases, the other decreases. C) A high correlation coefficient tells us the data are linear.
What is the correlation coefficient between two variables, x and y, if the mean of x is 8, the mean of y is 9, the standard deviation of x is 2, the standard deviation of y is 3, and the covariance between x and y is 4?
If r = +0.2 for 'Age' versus 'Hours spent on social media', what is your conclusion? There is a weak/no covariance between the two variables There is a moderate covariance between the two variables There is a moderate correlation between the two variables There is a weak/no correlation between the two variables
3. Coefficient of correlation = - 0.25 means (a) Strong positive correlation (b) Weak positive correlation (c) Strong Negative correlation (d) Weak Negative correlation
Carl is conducting a research study and finds a significant positive correlation between a state's per capita consumption of mozzarella cheese and the number of doctoral degrees in civil engineering that are awarded (real example!). However, this association is actually caused by a third variable that Carl did not measure. This variable is known as a: Group of answer choices distractor variable confounding variable independent variable lactose intolerant variable
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
5. The correlation coefficient tells us of the: O Whether the linear relationship between 2 quantitative variables is a low, moderate or high correlation O Whether the linear relationship between 2 quantitative variables is either positive or negative O Strength and direction of the relationship between 2 quantitative variables O Strength and direction of the relationship and influence between 2 quantitative variables
23 views A well-known multinational FMCG produces more than fifty products and sells them in the market. Out of fifty products one is mineral water for drinking purpose and supplies different size pack bottles in the market. Product manager observed that, during hot days the sale of water is more as compared to the normal days. He started the collection of data of weekly sale of water and the average weekly temperature. Product manager was interested in developing a relationship between sales and temperature; therefore, he discussed and shared the following data with you. sales 75 77 69 63 79 80 77 70 73 87 72 73 80 80 69 84 77 72 74 81 temperature 32 36 31 31 34 29 32 35 28 31 30 31 29 35 36 28 32 33 32 33 Sale is in thousand liters and temperature is in degree Celsius. Data is Normally distributed You are required to determine the following information for some concrete decision:…
A) Positive correlation B) Negative correlation C) No correlation
A student noticed that when she gets less than 8 hours of sleep at night, she scores lower on her test grades. Can one conclude that this positive correlation shows a causal relationship? OYes, because it is well known that less sleep lowers test scores OYes, because it is not a negative correlation O No, because all students get less than 8 hours of sleep at night No, because it is possible that the student gets lower test grades because of another factor, such as not studying
Researchers were interested in assessing whether stress levels at the beginning of the semester are related to (i.e., correlated with) stress levels during finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. Participant Stress 1 Stress 2 (X - MX) (Y - MY) (X - MX) (Y - MY) (X - MX)2 (Y - MY)2 1 22 22 -4.4 -6 2 32 34 5.6 6 3 24 25 -2.4 -3 4 28 30 1.6 2 5 26 29 -0.4 1 What is the observed correlation coefficient (i.e., r value)?
What information is provided by r2? What are the primary uses of partial correlations?

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