turday by 11:59pm Points 125 Submitting an external tool QUESTION 25 . 1 POINT Find the linear regression line for the following table of values. You will need to use a calculator, spreadsheet, or statistical software. Enter your answer in the form y = mx + b, with m and b both rounded to two decimal places. Provide your answer below: Previous y=x+ Search X y 1 5.46 2 7.6 3 9.11 4 14.3 D 5 18.93 6 19.45 目 24/25 Next

Link to the excel file. Thank you for the help. EXCEL DATA: https://drive.google.com/file/d/1TQG5r2wzLGk--75whZXyb0SDTHZTWS0S/view?usp=sharing

please answer a and b thank you

Excel file: https://drive.google.com/file/d/1TQG5r2wzLGk--75whZXyb0SDTHZTWS0S/view?usp=sharing

Link to the excel file. Thank you for the help. EXCEL DATA: https://drive.google.com/file/d/1TQG5r2wzLGk--75whZXyb0SDTHZTWS0S/view?usp=sharing

Please answer letters: e, f, g, and h

Open the Excel spreadsheet "HomeSalesData.xls". This dataset shows actual home sales data from New Orleans, circa 2005. Estimate a regression to answer the following. Each additional BATH in a house is associated with a _____________ dollar increase home price. Round your answer to two decimal places.  Price Home_Size Lot_Size Number_Rooms Number_Baths $72,000 600 0.50 3 1.0 $116,300 1050 0.43 5 1.5 $152,000 1800 0.68 7 1.5 $80,500 922 0.30 5 1.0 $141,900 1950 0.75 8 2.5 $124,000 1783 0.22 8 1.5 $117,000 1008 0.50 6 1.0 $165,900 1840 1.16 8 2.0 $153,500 3700 1.10 10 3.0 $126,500 1092 0.26 6 1.0 $122,000 1950 0.50 7 1.5 $140,000 1403 0.50 6 2.0 $223,000 1680 14.37 8 2.0 $99,500 1000 0.49 4 1.0 $211,900 2310 0.46 8 2.5 $121,900 1300 0.78 6 1.0 $169,000 1930 3.00 9 3.0 $156,000 3000 0.50 11 2.5 $123,500 1362 0.40 7 2.0 $136,000 1750 0.50 7 2.0 $194,900 2080 1.00 8 2.5 $128,500 1344 0.94 6 2.0 $302,000 2130 11.91 8 1.5 $142,000 1500 0.41 7…

Find the regression line of the points: (12.7, 18.7),   (9.1, 17.2),   (15.3, 14.5),   (19.5, 12.9)

Use Data Set 7 found on my website for this question. Consider two models: Big and Small. Both models are predicting Exam Tot. Big uses four variables (Female?, Year, Time, and H Total) to predict Exam Tot. Small uses two variables (Time and H Total) to predict Exam Tot. Run a regression for each model. Which one is a better model?     Small is better, but it's arguable that Big is better     Clearly Big     Both are equally good / It's hard to tell.     Big is better, but it's arguable that Small is better     Clearly Small

I need in one hour pls help thankyou