Square this value (r2). Include the value and describe this correlation to someone who is not in statistics class. Two Quantitative VariablesVariableExplanatory|x axisResponse y axisBegin analysis Edit inputsScatterploty axisResidual2.4-2.2.2-1.81.6-1.4-1.2-10.80.6-0.60.50.40.30.20.10-0.1-0.2-0.3-0.4OName00•OO500 1000 1500 2000 2500 3000 3500 4000 4500x axisO500 1000 1500-0.3 -0.2 -0.1Calculate CorrelationObservations (separated by commas or spaces)Keep individuals in the same order.4734, 4376, 4068, 3300, 3153, 2842, 2460, 2389, 2376, 16151.73, 2.348, 1.487, 1.104, 1.223, 1.188, 1.204, 1.277, 1.331, |Reset everythingHide regression Hide residual plotCalculate correlation r=0.759Regression ModelsT0nCalculate least-squares regression lineEquation= 0.74494 + 0.0002x 18 0.282 0.576S²2000 2500 3000 3500 4000 4500x axis0.1ResidualHide dotplot of residuals0.20.3Calculate other regression model: [QuadraticPerform Inference0.40.50.6Include more detailed regression outputCalculate other regression modelInference procedure: [Simulate sample correlationSimulates the distribution of the sample correlation when the responses are randomly shuffled to different explanatory values.Number of samples to add: |The applet will graph all of your results until you hit "Reset simulation."Add samplesReset simulationAdjust color, rounding, and percent/proportion preferences | Back to menu

From the given question: Correlation r = 0.759

Answered: Square this value (r2). Include the…

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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Q1, a. define correlation and it's types. b. write the properties of r.
Which correlation would allows for the best prediction of Y based on X? Group of answer choices r = .50 r = .80 r = .05 r = -.90
Answer clearly
In analyzing the the correlation between two variables in the scatter plot, when the variable X increases, the variable Y also increases then the correlation between them is a. no correlation b. negative c. multiple correlation d. positive
Use the table to find the following, unit price being your (x) and units sold (y). a. Find linear correlation coefficient. Years of Experience Salary in 1000$ 2 3. 15 28 42 13 64 50 16 90 11 58 8 54 b. Find the line of best fit. c. How many units will sell if the unit price was 0.85.
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Give an example of two variables that you would expect to have a correlation close to or equal to -1. Give an example of two variables that you would expect to have a correlation close to or equal to 0. Remember that survey question you wrote? Take the class responses to your survey as data related to the one variable of your question. Now, take the list of responses from the survey question that one of your classmates wrote. Write down both lists of data. (If one sample size happens to be different from the other, cut the larger sample size down to that of the smaller sample size.) Calculate the correlation between the two variables. Describe the linear relationship between these two variables. (data for number 3) How many cars have you had so far in your lifetime? 0,1,1,1,2,2,2,2,3,3,3,3,4,4,5,6,6,7,10. How many days per week do you exercise? 0,0,0,1,2,3,3,3,3,4,4,4,4,5,5,5,5,6,6,6
Solve.
The table shows total earnings, y (in dollars ), of a food x,0,1,2,3,4,5,6 y,0,18,40,62,77,85,113 a. Make a scatter plot. b. What type of correlation is shown in the gra

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