Below are four descriptions of a relationship between two variables.For each description select the value of the correlation coefficient out of the options provided that bestmatches it.An exact positive linear relationship.Choose.VChoose...+1.00A very strong negative (but not exact) relationship, which is approximately linear.- 1.00- 0.64-0.05No obvious relationship.- 0.94+0.94+0.64An obvious positive linear relationship about which the points are quite widelyscattered.fim

Answered: Below are four descriptions of a…

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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Which of the following correlation coefficients might lead a researcher to conclude that there is a weak, but significant, negative linear relation between variables X and Y? a. r=0.99 b. r=0.30 c. r=0 d. r=-0.30 c. r=-0.99
1945 is paired with cancer rates for 1975. The cigarette consumption data is from 1945 to 1975 in 5-year increments. There is a strong positive linear association between annual cigarette consumption and lung cancer rates. The correlation is 0.81. If we use the line to make predictions of the number of lung cancer deaths per 100,000 people, which of the following is an example of extrapolation? a. Predict Y when cigarette consumption is 3,500 cigarettes per person. b. Predict Y when cigarette consumption is 3,800 cigarettes per person. c. Predict Y when cigarette consumption is 4,600 cigarettes per person.
Which of the following are attributes of correlation? Ocorrelation is bounded by +1 and -1 correlation is a measure of linear dependency a correlation of 0 does not mean that 2 variables are independent independent variables have 0 correlation
1. for each of the variables paige has recorded describe what type of data she has for each 2.what type of plot has paige produced? Comment on the initial impressions you gather from this plot. 3.calculate the correlation coefficient between the height of the strawberry plant and the amount of water it gets per day. Interpret the result.
Direction: Answer the problem below. Show your solution. Mr. David runs to keep himself physically fit. He wants to know if there is a relationship between the time elapsed and the kilometers he ran. Kilometers ran Time (in minutes) (X) (Y) 1 10 90 2 10 60 3 16 150 4 16 90 5 21 160 21 180 a. Calculate the Pearson correlation coefficient and regression line based on the data below, b. Draw a scatter plot. Activate Windows N Go to PC settings to activate Windows.
The following are the age (in years) and price (in hundreds of dollars) data for a certain type of car. A scatterplot of the data is given to the right. 500 300- Age (x) Price (y) 273 265 279 401 363 295 330 315 406 307 7 1 1 5 a. Obtain the linear correlation coefficient. b. Interpret the value of r in terms of the linear relationship between the two variables. c. Discuss the graphical interpretation of the value of r d. Obtain the value of the coefficient of determination by squaring r. a.r= (Round to. three decimal places as needed.) b. There is between the two variables as the x-values increase, and the data points appear c. The given graph is V with the interpretation found in part (b), because the y-values appear to d. = (Round to three decimal places as needed.)
What is the value of the correlation coefficent, r? Is the strength of the linear relationship strong, moderately strong, somewhat weak or very weak?
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1. Correlation basics Which of the following statements about correlation are true? Check all that apply. If the correlation between two variables is close to 1, there is a positive linear relationship between the two variables. The sign of the correlation indicates the strength or consistency of the linear relationship between two variables. If the correlation between two variables is 0, there is no clear linear relationship between the two variables. The sign of the correlation indicates the direction of the relationship between two variables. Correlation measures and describes the behavior of a single variable. The correlation is scaleless; that is, it doesn't change when the measurement units are changed for either or both of the variables. The correlation indicates the strength and the direction of the linear relationship between two variables. O O O O O

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