Question
In: Advanced Math
Using linear regression, model the following data. The table contains world internet users in millions (Source:...
Using linear regression, model the following data. The table contains world internet users in millions (Source: International Telecommunication Union; ICT database). Model the data as a linear function. Note the x and y are tabulated. Your answer needs to be an equation in the form y = mx + b
|
Year, x |
Internet Users, y |
| 1 | 679.8 |
| 2 | 790.1 |
| 3 | 935 |
| 4 | 1047.9 |
| 5 | 1217 |
| 6 | 1402.1 |
| 7 | 1542.5 |
| 28 | 8108.5 |
Solutions
Colby Messinger answered 10 months agoRelated Solutions
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Below is the ANOVA table for a linear regression analysis: Source SS df MS Lin Regression...
Below is the ANOVA table for a linear regression
analysis:
Source
SS
df
MS
Lin Regression
75
1
75
Residual
1500
60
25
Total
1575
61
(a) How many people were tested?
N = ________
(b) What are the tabled (α = .05) and calculated
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A multiple regression model is to be constructed to model the time spent using the internet...
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Data has been collected on 30 randomly selected individuals:
Time using internet
(minutes)
Age
Hours working
per week
Annual income
('000)
140
56
39
28
257
35
31
79
163
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35
34
115
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182
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214
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Run a linear regression using Excel’s Data Analysis regression tool. Construct the linear regression equation and...
Run a linear regression using Excel’s Data Analysis regression
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using the regression results.
Number of Promotions
Total Sales
3
2554
2
1746
11
2755
14
1935
15
2461
4
2727
5
2231
14
2791
12
2557
4
1897
2
2022
7
2673
11
2947
11
1573
14
2980
Use Excel to estimate a simple linear regression model for the following data (Y is a...
Use Excel to estimate a simple linear regression model for the
following data (Y is a dependent variable and X is an independent
variable):
Y
X
0
-2
0
-1
1
0
1
1
3
2
Fill in Multiple Blanks:
What is the slope of the estimated line? In your
answer, show one (1) digit to the right of the
decimal point, for example, 1.0, 1.2. Apply the appropriate
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What is the Y-intercept?
a. Using the following R codes to fit the linear regression model for VitC on HeadWt,...
a. Using the following R codes to fit the linear regression
model for VitC on HeadWt, and obtain its summary. Paste the R
output in your homework. cabbages_data <-
read.csv("http://users.stat.umn.edu/~wuxxx725/data/cabbages_data.csv")
cabbages_reg <- lm(VitC ~ HeadWt, data = cabbages_data)
summary(cabbages_reg)
b. State and interpret the value of r 2 from the model summary
output in part a).
c. Calculate the correlation r between HeadWt and VitC, and
state the strength and the direction of the correlation.
d. State the estimated regression...
Using the following R codes to fit the linear regression model for VitC on HeadWt, and...
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for VitC on HeadWt, and obtain its summary. Paste the R output in
your homework. cabbages_data <-
read.csv("http://users.stat.umn.edu/~wuxxx725/data/cabbages_data.csv")
cabbages_reg <- lm(VitC ~ HeadWt, data = cabbages_data)
summary(cabbages_reg)
a. Using the following R codes to fit the linear regression model for VitC on HeadWt,...
a. Using the following R codes to fit the linear regression
model for VitC on HeadWt, and obtain its summary. Paste the R
output in your homework. cabbages_data <-
read.csv("http://users.stat.umn.edu/~wuxxx725/data/cabbages_data.csv")
cabbages_reg <- lm(VitC ~ HeadWt, data = cabbages_data)
summary(cabbages_reg) b. State and interpret the value of r 2 from
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The following data contains the characteristics of 30 motorcycles that will be analyzed using a Regression...
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Power (cf): 145 215 165 85 225 87 175 210 158 86 150 150 76 170
208 150 215 225 220 153 175 130 140 165 180 150 190 110 150 86
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