Based on a science expiremtn following the data table down below. Create a Graph the change in your independent variable (x-axis) to the change in your dependent variable(y axis).

The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1x1) is the square footage, the second independent variable (x2x2) is the number of bedrooms, and the third independent variable (x3x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 24332433 3 22 277600277600 20602060 4 99 250900250900 19121912 3 99 114800114800 24782478 3 55 290000290000 18841884 4 1414 287300287300 25982598 3 1313 123700123700 30743074 4 22 193900193900 27382738 3 88 146900146900 13981398 5 55 272200272200  Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. Step 2 of 2: Determine if a statistically significant linear relationship exists…

Part a through e please. Thank you!

write and equation that gives the number of tickets sold y as linear function of number of hours x since the tickets have been on sale