Write a short paragraph explaining what all of this means. Was a correlation found and was it found causality? If so how can be proven? If not, what other factors could be considered?
Write a short paragraph explaining what all of this means. Was a correlation found and was it found causality? If so how can be proven? If not, what other factors could be considered?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Write a short paragraph explaining what all of this means. Was a correlation found and was it found causality? If so how can be proven? If not, what other factors could be considered?
![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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4b4b8ea6-af13-4c0a-b517-f1f57398787c%2Fa591c4a5-000a-498e-aa6b-22c46584b27a%2Fzgy4qna_processed.png&w=3840&q=75)
Transcribed Image Text: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
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