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Chapter 10, Problem 24QAP

(a)

To determine

The micro-structural product of eutectoid iron-carbon alloy specimens that are first transformed to austenite and then cooled to room temperature at a rate of 200oC/s .

(b)

To determine

The microstructural product of eutectoid iron-carbon alloy specimens that are first transformed to austenite and then cooled to room temperature at a rate of 100oC/s .

(c)

To determine

The microstructural product of eutectoid iron-carbon alloy specimens that are first transformed to austenite and then cooled to room temperature at a rate of 20oC/s .

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I need help with the machine learning question. I need help on trying to use this.Don't know which code to use. Build a simple linear regression model to predict tip from total_bill using scikit-learn. Calculate and interpret the R-squared value, and MSE for both the training and testing sets. Generate a residual plot (using the testing dataset: y_test - y_pred) and analyze its distribution. Interpret the slope and intercept of the regression line. Split the dataset into 70% for model training and 30% for testing the model. Build a multiple linear regression model to predict tip using total_bill, size, sex, smoker, and day. Use the same split as above (70% for training and 30% for testing). Evaluate the model's performance using the same metrics as in the simple linear regression (R^2 & MSE). Compare the performance of the simple and multiple linear regression models.
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