Bella Capelli A Paul Mitchell Partner School Statistics R Programming Worksheet guideline address below. 1) Producing plots (e.g. scatter plot): make sure

Bella Capelli A Paul Mitchell Partner School Statistics R Programming Worksheet guideline address below.

1) Producing plots (e.g. scatter plot): make sure to label x axis, y axis and title
2) Commenting about the relationship between two variables: you need to talk about 3 things. Linearity (linear or not), Strength (weak / strong), direction (positive or not)
3) Writing out the fitted model from the R regression output: in order to get full marks you need to provide the R output as well as you need to write the model like ” y_hat = value of the intercept +/- value of the slope * x_variable ”

4) R squared vs. Adjusted R squared: Adjusted R squared should be used when you are working on a multiple linear regression problem. If simple linear regression you can simply look at R_squared.

5) Make sure to include all your R outputs in your answer scripts – you need to state null / alternative hypothesis

– value of the test statistic and corresponding p-value

– decision, interpretation, and conclusion to get full marks You will need to download the dataset Diamonds.csv to your desktop. Then upload the dataset into
Jupyter using guidance from JupiterR.pdf and R Commands.pdf
You will need to download the dataset BaseballTimes.csv to your desktop. Then upload the dataset into
Jupyter using guidance from JupiterR.pdf and RCommands.pdf
Do parts a,b,d and below
Additional question: Use the stepwise procedure to find the “best” model
You will need to download the dataset Olives.csv to your desktop. Then upload the dataset into Jupyter
using guidance from JupiterR.pdf and R Commands.pdf

Purchase answer to see full
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