PLEASE TYPED ANSERES ONLY

Multiple Choice; Suppose that we have a data set named as "Midterm". We want to perform a binary classification using this data set on two classes positive and negative. We have performed stratified holdout resampling and obtained a training set with 800 observations, of which 600 are in class positive. Which of the following is the most possible scenario? O A. The data set "Midterm" contains a total of 1000 observations, of which 800 are in class positive B. The data set "Midterm" contains a total of 1200 observations, of which 1000 are in class positive O C. The testing set obtained contains a total of 600 observations, of which 150 are in class negative O D. The testing set obtained contains a total of 500 observations, of which 200 are in class negativeShort Answer-Number Only. Show your answer as a number to two decimal places, e.g., 0.00. Rounding if necessary. A firm would like to analyze how the product profit is affected by R&D spending and Advertising spending. It has collected data and run a regression model. All information is recorded in dollars. Hypothetically, there is a new product spending $100 on R&D and $200 on Advertising. Following the output as below, what is the predicted profit in dollars for this product? > summary (Model) Call : Im (formula = Profit ~ R&D * Advertising) Coefficients : Estimate Std. Error t value Pr (>|t/) (Intercept) 0. 6000 0.2848 23.43 A Moving to another question will save this response. Question 1 of 30 >Multiple Answer; In which of the following scenarios we are more interested in inference? A. We collect a data set which includes occupation, age, education and eight other variables. We are interested in building a model to understand which factors affect the employee's salary. B. One data set is collected which contains length, diameter, whole weight, shell weight and several other variables. You want to use it to estimate the age of abalone. c. You collect a data set on 1,000 patients. For each patient, it records the patient's age, chest pain location, chest pain type and 20 other variables. You want to build a model to help know whether the patient has heart disease. We collect a product information data set on 10K products from an e-commerce website. For each product, we record its retailer price, released date, sales volume, review volume, rating and several other variables. We want to use the data to build a OD. model, which can estimate the number of product reviews. We collect a data set on 500 companies. For each company, we obtain its ROA, cash flow rate, tax rate, total assets, bankruptcy status and 66 other variables. We want to build models to help know whether a company will go bankruptcy or not. You work with a bank for direct-mail campaign. You want to know whether a client will accept a balance transfer offer. You collect a dataset on 2000 clients. For each client, you collect job, marital status, default status, education, housing loan status OF. and 10 other variables. G. We are interested in understanding which factors affect students' performance score. We obtain a set of data on 600 students. For each student, we record commute time, study time, failed courses and six other variables. H. We collect a data set on animal. It contains feathers, aquatic, tail and seven other variables. We would like to use the data to predict the type of animal.Multiple Choice; We fit the model below to data. Y =B1X1+B2X2+Bote After fitting the model, we obtain that the estimated coefficient value of 1 is 2.3, the estimated coefficient value of B 2 is 15.6 and the estimated coefficient value of Bo is 3.5. Which of the following statements is correct? O A. For a one-unit increase in X2, Y increases on average 15.6 regardless of X2. O B. The relation between X2 and Y is significant. O c. The average value of Y is 15.6 if X1 is zero. O D. For a one-unit increase in X2, Y increases on average 15.6 with X1 held fixed