Run a regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week hours/week Grade X У 53.6 5 47 8 66.2 9 68.6 11 78.4 12 72.8 14 83.6 15 93 19 100 19 100 State the regression equation y = m x + b, with constants accurate to two decimal places. Preview * What is the predicted value for the final grade when a student spends an average of 10 hours each week on math? * Round to 1 decimal place Grade Get help: Video Video The following table shows retail sales in drug stores in billions of dollars in the U.S for years since 1995 Year Retail Sales 0 85.851 3 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) = 9.44t + 84.182 220 210 200 190 180 170 160 150 140 130 120 110 100 90 6 12 80 Use the above scatter plot to decide whether the linear model fits the data well The function is a good model for the data. OThe function is not a good model for the data |x billions of dollars Estimate the retails sales in the U. S. in 2017. Use the model to predict the year that corresponds to retails sales of $248 billion. Hint: Help
Run a regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week hours/week Grade X У 53.6 5 47 8 66.2 9 68.6 11 78.4 12 72.8 14 83.6 15 93 19 100 19 100 State the regression equation y = m x + b, with constants accurate to two decimal places. Preview * What is the predicted value for the final grade when a student spends an average of 10 hours each week on math? * Round to 1 decimal place Grade Get help: Video Video The following table shows retail sales in drug stores in billions of dollars in the U.S for years since 1995 Year Retail Sales 0 85.851 3 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) = 9.44t + 84.182 220 210 200 190 180 170 160 150 140 130 120 110 100 90 6 12 80 Use the above scatter plot to decide whether the linear model fits the data well The function is a good model for the data. OThe function is not a good model for the data |x billions of dollars Estimate the retails sales in the U. S. in 2017. Use the model to predict the year that corresponds to retails sales of $248 billion. Hint: Help
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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I need help finding the answer on the TI84 Plus CE and on paper ?. Thank you
Transcribed Image Text:Run a regression analysis on the following data set, where y is the final grade in a
math class and x is the average number of hours the student spent working on math
each week
hours/week
Grade
X
У
53.6
5
47
8
66.2
9
68.6
11
78.4
12
72.8
14
83.6
15
93
19
100
19
100
State the regression equation y = m x + b, with constants accurate to two decimal
places.
Preview
*
What is the predicted value for the final grade when a student spends an average of
10 hours each week on math?
* Round to 1 decimal place
Grade
Get help: Video Video
Transcribed Image Text:The following table shows retail sales in drug stores in billions of dollars in the U.S
for years since 1995
Year
Retail Sales
0
85.851
3
108.426
6
141.781
9
169.256
12
202.297
15
222.266
Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model
for the data is F(t) = 9.44t + 84.182
220
210
200
190
180
170
160
150
140
130
120
110
100
90
6
12
80
Use the above scatter plot to decide whether the linear model fits the data well
The function is a good model for the data.
OThe function is not a good model for the data
|x billions of dollars
Estimate the retails sales in the U. S. in 2017.
Use the model to predict the year that corresponds to retails sales of $248 billion.
Hint: Help
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