I could use some help with creating this. I keep getting errors when I try it. Thanks in advance.

[3]: 3. Model \#1 - First Logistic Regression Model Reporting Results Report the results of the regression model. Address the following questions in your analysis. Round all numbers 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), exercised induced angina (exang), and maximum heart rate achieved (thalach). Note: Use the equation editor to write the regression equation. - Now write the prediction model equation 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. - What do the following terms, from the general form of the model above, mean in terms of an individual defaulting on their credit? - 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. - Interpret the estimated coefficient of the maximum heart rate achieved variable. Model \#1 - First Logistic Regression Model You have been asked to create a logistic regression model for heart disease (target) using the variables age (age), resting blood pressure (trestbps), and maximum heart rate achieved (thalach). Before writing any code, review Section 3 of the Summary Report template to see the questions you will be answering about your logistic regression model. Run your scripts to get the outputs of your regression 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