I need the answer please help me
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Answer:
Check the explanation
Step-by-step explanation:
The First action is to enter the data in Excel and then save it as a csv file. Then call the data set in R using your saved path, I have made use of my computer path here in my code. please change it for yours.
Here is the code That you need to use for finding the multiple limear regression model and summary of it.
code:
data=read. csv("C:\\Users\\HP\\Desktop\\chegg. csv")
data
attach(data)
model=lm(Risk~Age+Blood.Pressure+Smoker)
summary(model)
And Here is the output:
Call:
lm(formula = Risk ~ Age + Blood.Pressure + Smoker)
Residuals:
Min 1Q Median 3Q Max
-13.1064 -1.5715 0.4225 3.4855 8.5561
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -91.75950 15.22276 -6.028 1.76e-05 ***
Age 1.07674 0.16596 6.488 7.49e-06 ***
Blood.Pressure 0.25181 0.04523 5.568 4.24e-05 ***
Smoker 8.73987 3.00082 2.912 0.0102 *
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 5.757 on 16 degrees of freedom
Multiple R-squared: 0.8735, Adjusted R-squared: 0.8498
F-statistic: 36.82 on 3 and 16 DF, p-value: 2.064e-07
The answer is now written in the notebook which i am uploading..
500 is not a perfect square number. Therefore, find the factors of 500 with the largest perfect square. In this case, 100 is the largest perfect square number in 500.
If you are simply looking for the calculator result, you will get
If you are simply looking for the calculator result, you will get