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Question #8 Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.   x 12 6 10 13 11 5 8 14 9 7 15   y 14.29 6.91 13.15 14.37 13.88 4.53 10.69 14.11 12.08 8.97 13.53     y= ________ + ________ x (Round to two decimal places as​ needed.)   Create a scatterplot of the data. Choose the correct graph below. ( Grapghs are attached)    Identify a characteristic of the data that is ignored by the regression line.   A. There is no trend in the data. B. There is an influential point that strongly affects the graph of the regression line. C. The data has a pattern that is not a straight line. D. There is no characteristic of the data that is ignored by the regression line.

Question #8 Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.   x 12 6 10 13 11 5 8 14 9 7 15   y 14.29 6.91 13.15 14.37 13.88 4.53 10.69 14.11 12.08 8.97 13.53     y= ________ + ________ x (Round to two decimal places as​ needed.)   Create a scatterplot of the data. Choose the correct graph below. ( Grapghs are attached)    Identify a characteristic of the data that is ignored by the regression line.   A. There is no trend in the data. B. There is an influential point that strongly affects the graph of the regression line. C. The data has a pattern that is not a straight line. D. There is no characteristic of the data that is ignored by the regression line.

MATLAB: An Introduction with Applications
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 #8

Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.
 
x
12
6
10
13
11
5
8
14
9
7
15
 
y
14.29
6.91
13.15
14.37
13.88
4.53
10.69
14.11
12.08
8.97
13.53
 
 
y= ________ + ________ x (Round to two decimal places as​ needed.)
 
Create a scatterplot of the data. Choose the correct graph below.
( Grapghs are attached) 
 
Identify a characteristic of the data that is ignored by the regression line.
 
A. There is no trend in the data.
B. There is an influential point that strongly affects the graph of the regression line.
C. The data has a pattern that is not a straight line.
D. There is no characteristic of the data that is ignored by the regression line.
To create a scatterplot of the data and identify the correct graph, consider the following options: 1. **Equation Format**: \( \hat{y} = \_\_ + \_\_x \) (Round to two decimal places as needed). 2. **Graph Options**: Choose the correct scatterplot from the graphs labeled A, B, C, and D. **Graph Descriptions**: - **Graph A**: Points appear randomly scattered across the grid without any clear pattern. - **Graph B**: Points are aligned in a roughly linear pattern with a positive slope. - **Graph C**: Points form a distinct linear pattern with a positive slope, more pronounced and closely fitting a line than in Graph B. - **Graph D**: Points are arranged in a curve, suggesting a nonlinear relationship with an upward trend. Examine the data you have and choose the graph that best represents the relationship between the variables.
Transcribed Image Text:To create a scatterplot of the data and identify the correct graph, consider the following options: 1. **Equation Format**: \( \hat{y} = \_\_ + \_\_x \) (Round to two decimal places as needed). 2. **Graph Options**: Choose the correct scatterplot from the graphs labeled A, B, C, and D. **Graph Descriptions**: - **Graph A**: Points appear randomly scattered across the grid without any clear pattern. - **Graph B**: Points are aligned in a roughly linear pattern with a positive slope. - **Graph C**: Points form a distinct linear pattern with a positive slope, more pronounced and closely fitting a line than in Graph B. - **Graph D**: Points are arranged in a curve, suggesting a nonlinear relationship with an upward trend. Examine the data you have and choose the graph that best represents the relationship between the variables.
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