The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line.ŷ = bo + b₁x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 0.5 1.5 2.5 3 4 4.5 5 Overall Grades 94 86 84 81 79 73 62 Answer How to enter your answer (opens in new window) Table Step 4 of 6: Substitute the values you found in steps 1 and 2 Into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable. Copy Data Tables Keypad Keyboard Shortcuts Previous step answers
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line.ŷ = bo + b₁x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 0.5 1.5 2.5 3 4 4.5 5 Overall Grades 94 86 84 81 79 73 62 Answer How to enter your answer (opens in new window) Table Step 4 of 6: Substitute the values you found in steps 1 and 2 Into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable. Copy Data Tables Keypad Keyboard Shortcuts Previous step answers
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using
this data, consider the equation of the regression line, ŷ = bo + b₁x, for predicting the overall grade average for a middle school student based on the number of hours
spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, In practice, it would not be
appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.
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Answer
How to enter your answer (opens in new window)
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Step 4 of 6: Substitute the values you found in steps 1 and 2 Into the equation for the regression line to find the estimated linear model. According to this model, if the
value of the Independent variable is increased by one unit, then find the change in the dependent variable y
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