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2. Write down the equation of the regression line you found using technology. Use proper notation, include the ŷ = mx +b Round values to 3 decimal places (thousandths). 3. Write down the value of the correlation coefficient (r =) you found using technology here. Round your value to 3 decimals places. 4. Based on r, which type of correlation is there between the two variables? Circle the best option. Write a complete sentence stating why you chose that option. Answer using a complete sentence. Strong Moderate Weak None

2. Write down the equation of the regression line you found using technology. Use proper notation, include the ŷ = mx +b Round values to 3 decimal places (thousandths). 3. Write down the value of the correlation coefficient (r =) you found using technology here. Round your value to 3 decimals places. 4. Based on r, which type of correlation is there between the two variables? Circle the best option. Write a complete sentence stating why you chose that option. Answer using a complete sentence. Strong Moderate Weak None

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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There are many variables that may have a possible relationship between them. In these cases, we may want to find a linear regression line to predict one variable from the other, or even find the value of the correlation coefficient between them. You are given a dataset table below (which contains data points (x,y) along with a description of what the numbers represent). Using this dataset table, answer the following questions. Note: you may use Desmos.com or your graphing calculator to help you with this assignment. Dataset: Systolic Blood Pressure • Independent (x) variable: Age (years) • Dependent (y) variable: Systolic Blood Pressure (mmHg) Age | Systolic Blood Pressure 114 18 19 124 20 116 21 120 25 125 30 130 32 110 36 136 39 144 42 124 44 160 45 135 46 142 47 145 48 220 It is a good idea to draw lines below each row. Also, count each row by putting a number on the left until you finish labeling each row. This will tell you how many data points you have (ordered pairs).
Transcribed Image Text:There are many variables that may have a possible relationship between them. In these cases, we may want to find a linear regression line to predict one variable from the other, or even find the value of the correlation coefficient between them. You are given a dataset table below (which contains data points (x,y) along with a description of what the numbers represent). Using this dataset table, answer the following questions. Note: you may use Desmos.com or your graphing calculator to help you with this assignment. Dataset: Systolic Blood Pressure • Independent (x) variable: Age (years) • Dependent (y) variable: Systolic Blood Pressure (mmHg) Age | Systolic Blood Pressure 114 18 19 124 20 116 21 120 25 125 30 130 32 110 36 136 39 144 42 124 44 160 45 135 46 142 47 145 48 220 It is a good idea to draw lines below each row. Also, count each row by putting a number on the left until you finish labeling each row. This will tell you how many data points you have (ordered pairs).
2. Write down the equation of the regression line you found using technology. Use proper notation, include the ŷ = mx + b Round values to 3 decimal places (thousandths). 3. Write down the value of the correlation coefficient (r =) you found using technology here. Round your value to 3 decimals places. 4. Based on r, which type of correlation is there between the two variables? Circle the best option. Write a complete sentence stating why you chose that option. Answer using a complete sentence. Strong Moderate Weak None 5. Write whether or not there is a negative or a positive linear relationship between your variables and how you know. Answer using a complete sentence. 6. What is the vertical-intercept for the regression line equation that you found as a an ordered pair. Write a sentence describing what this ordered pair means. Answer using a complete sentence. 7. What is the slope for the regression line equation that you found. What is the slope written as a rate with units? Write a sentence describing what this rate means. Answer using a complete sentence.
Transcribed Image Text:2. Write down the equation of the regression line you found using technology. Use proper notation, include the ŷ = mx + b Round values to 3 decimal places (thousandths). 3. Write down the value of the correlation coefficient (r =) you found using technology here. Round your value to 3 decimals places. 4. Based on r, which type of correlation is there between the two variables? Circle the best option. Write a complete sentence stating why you chose that option. Answer using a complete sentence. Strong Moderate Weak None 5. Write whether or not there is a negative or a positive linear relationship between your variables and how you know. Answer using a complete sentence. 6. What is the vertical-intercept for the regression line equation that you found as a an ordered pair. Write a sentence describing what this ordered pair means. Answer using a complete sentence. 7. What is the slope for the regression line equation that you found. What is the slope written as a rate with units? Write a sentence describing what this rate means. Answer using a complete sentence.
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