Please I need a lot of help with the questions below can someone explain this in the form the questions are

The purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.

Scenario

You have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.

Data Analysis

[Histogram:Create andinsert a histogram for the first variable. Be sure to include appropriate labels.]

[Histogram:Create andinsert a histogram for the second variable. Be sure to include appropriate labels.]

[Summary statistics:Create andinsert a table to show the summary statistics (mean, median, standard deviation) for both variables.]

Develop Regression Model

[Scatterplot:Create and insert the scatterplot of the variables with a line of best fit and the regression equation. [Based on your scatterplot, explain whether a regression model is appropriate.]

Determine the Line of Best Fit

[Regression equation:Write the regression equation (i.e., line of best fit) and clearly define your variables.]

[Interpret regression equation:Interpret the slope and intercept in context. For example, answer the questions: What does the slope represent in this situation? What does the intercept represent? Revisit the Scenario section in the learning management system.]

[Strength of the equation:Provide and interpretR-squared. Determine the strength of the linear regression equation you developed.]

[Use the regression equation to make predictions:Use the regression equation to predict how much you should list your home for based on the assumed square footage of your home at 1500 square feet.]