Calculate your correlation coefficient (r): Click: Calculate correlation. Copy or write this, rounding to the nearest thousandths. Describe what this correlation means to a friend 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

Calculate your correlation coefficient (r): Click: Calculate correlation. Copy or write this, rounding to the nearest thousandths. Describe what this correlation means to a friend who is not in statistics class.

Calculate your correlation coefficient (r): Click: Calculate correlation. Copy or write this, rounding to the nearest thousandths. Describe what this correlation means to a friend who is not in statistics class.

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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Question

Two Quantitative Variables
Variable
Explanatory|x axis
Response y axis
Begin analysis Edit inputs
Scatterplot
y axis
Residual
2.4-
2.2.
2-
1.8
1.6-
1.4-
1.2-
1
0.8
0.6-
0.6
0.5
0.4
0.3
0.2
0.1
0
-0.1
-0.2
-0.3
-0.4
O
Name
0
0
•
OO
500 1000 1500 2000 2500 3000 3500 4000 4500
x axis
O
500 1000 1500
-0.3 -0.2 -0.1
Calculate Correlation
Observations (separated by commas or spaces)
Keep individuals in the same order.
4734, 4376, 4068, 3300, 3153, 2842, 2460, 2389, 2376, 1615
1.73, 2.348, 1.487, 1.104, 1.223, 1.188, 1.204, 1.277, 1.331, |
Reset everything
Hide regression Hide residual plot
Calculate correlation r=0.759
Regression Models
T
0
n
Calculate least-squares regression line
Equation
= 0.74494 + 0.0002x 18 0.282 0.576
S²
2000 2500 3000 3500 4000 4500
x axis
0.1
Residual
Hide dotplot of residuals
0.2
0.3
Calculate other regression model: [Quadratic
Perform Inference
0.4
0.5
0.6
Include more detailed regression output
Calculate other regression model
Inference procedure: [Simulate sample correlation
Simulates 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 samples
Reset simulation
Adjust color, rounding, and percent/proportion preferences | Back to menu

Definition Definition Statistical measure used to assess the strength and direction of relationships between two variables. Correlation coefficients range between -1 and 1. A coefficient value of 0 indicates that there is no relationship between the variables, whereas a -1 or 1 indicates that there is a perfect negative or positive correlation.

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