Regression Models Calculate least-squares regression line O Include more detailed regression output Equation ns2 |y=0.74494 + 0.0002x|18|0.282|0.576 Calculate other regression model: [Quadratic Perform Inference 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: Calculate other regression model 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

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter11: Data Analysis And Displays
Section: Chapter Questions
Problem 4CT
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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
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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ISBN:
9781680331141
Author:
HOUGHTON MIFFLIN HARCOURT
Publisher:
Houghton Mifflin Harcourt