Any help on getting this started would be appreciated. Thanks in advance.

[3]: eport the results of the regression model. Address the following questions in your analysis. Round all umbers to four decimal places. - Write the general form and the prediction equation of the logistic multiple regression model for heart disease (target) using variables age (age), resting blood pressure (trestbps), type of chest pain experienced (cp), maximum heart rate achieved (thalach); Include the quadratic term for age and the interaction term between age and maximum heart rate achieved. Note that this general form should be written in terms of E(y), exponents and i (where i=1,2,). Note: Use the equation editor to write the regression equation. - Now write the prediction equation of this model in terms of the natural log of odds to express the beta terms in linear form. Note: Use the equation editor to write the regression equation. - Create this logistic regression model. Write the prediction model equation (in terms of the natural log of odds) using outputs obtained from your R script. Round all figures to four decimal places. Model \#2 - Second Logistic Regression Model You have been asked to create a logistic regression model for heart disease (target) using the variables maximum heart rate achieved (thalach), age of the individual (age), sex of the individual (sex), exercise-induced angina (exang), and type of chest pain (cp). You also have to include the quadratic term for age and the interaction term between age and maximum heart rate achieved. Before writing any code, review Section 4 of the Summary Report template to see the questions you will be answering about your model. Run your scripts to get the outputs of your analysis. Then use the outputs to answer the questions in your summary report. Note: Use the + (plus) button to add new code blocks, if needed. [3]: eport the results of the regression model. Address the following questions in your analysis. Round all umbers to four decimal places. - Write the general form and the prediction equation of the logistic multiple regression model for heart disease (target) using variables age (age), resting blood pressure (trestbps), type of chest pain experienced (cp), maximum heart rate achieved (thalach); Include the quadratic term for age and the interaction term between age and maximum heart rate achieved. Note that this general form should be written in terms of E(y), exponents and i (where i=1,2,). Note: Use the equation editor to write the regression equation. - Now write the prediction equation of this model in terms of the natural log of odds to express the beta terms in linear form. Note: Use the equation editor to write the regression equation. - Create this logistic regression model. Write the prediction model equation (in terms of the natural log of odds) using outputs obtained from your R script. Round all figures to four decimal places. Model \#2 - Second Logistic Regression Model You have been asked to create a logistic regression model for heart disease (target) using the variables maximum heart rate achieved (thalach), age of the individual (age), sex of the individual (sex), exercise-induced angina (exang), and type of chest pain (cp). You also have to include the quadratic term for age and the interaction term between age and maximum heart rate achieved. Before writing any code, review Section 4 of the Summary Report template to see the questions you will be answering about your model. Run your scripts to get the outputs of your analysis. Then use the outputs to answer the questions in your summary report. Note: Use the + (plus) button to add new code blocks, if needed