The learner is trying to predict housing prices based on the size of each house. What type of regression is this?*c) Linear Regressiona) Multivariate Logistic Regressiond) Multivariate Linear Regressionb) Logistic Regression

I predict house prices based on multiple features like area, bedrooms, and bathrooms. Which regression method am I?

Select Any One Of the Following Options: If you want to predict the price of an apartment, which of the following ML techniques you may consider?RegressionClusteringAny of the these optionsClassification

An agent for a real estate company in a large city would like to be able to predict the monthly rental cost for apartments,based on the size of the apartment,as defined by square footage.A sample of eight apartments in a neighborhood was selected,and the information gathered revealed the data shown below.For these data,the regression coefficients are bo=373.5333 and b1=0.8553.Complete parts(a)through(d). Monthly Rent($); 9001,500,800,1600,1950,925,1825,1400, Size(Square Feet);850,1300,1050,1100,2000,650,1350,950 a.Determine the coefficient of determination, and interpret its (Round to three decimal places as needed.)

Write an algorithm for predicting house prices based on features like size, location,and number of bedroomsHint : 1. Collect and Prepare Data2. Define Features and Target3. Initialize Model Parameters4. Define the Hypothesis Function5. Define the Cost Function – Mean Squared Error6. Gradient Descent – minimizing the cost function7. Training the Model8. Make Predictions9. Evaluate the Model10. Deploy the Model

Amongst which of the following is / are the types of Linear Regression,Simple Linear RegressionMultiple Linear RegressionBoth A and BNone of the mentioned above