Question
In: Statistics and Probability
How do you create a linear regression model with any intercept using Matrix operations. The following...
How do you create a linear regression model with any intercept using Matrix operations. The following points are: (x0, x1, x2, y): (1, 2, 3, 15), (1, 4, 5, 23), (1, 1, 2, 8), and (1, 3, 5, 21).
Solutions
Expert Solution
The following matrix and vector are defined in order to conduct the matrix calculation required to compute the estimated multiple regression coefficients:
Therefore, based on the data provided, the estimated multiple linear regression equation is:
Please do upvote if you are satisfied! Let me know in the comments if anything is not clear. I will reply ASAP!
orchestra answered 1 year agoRelated Solutions
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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)
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c. Calculate the correlation r between HeadWt and VitC, and
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Using the following R codes to fit the linear regression model for VitC on HeadWt, and...
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)
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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between HeadWt and VitC, and state the strength and the direction
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