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\fH4 Jx A B C D G H K N P Home Valuation Worksheet Purchase Date Sqft Purchase Price Current Value Sqft Frequency BIN Frequency Standard Deviation 3/1/21 904 71,252.00 5 90,125.00 500 5/26/21 959 76,050.00 95,357.00 1000 11/1/21 586 64,972.00 80,114.00 1500 Variance 5/4/22 1101 80,885.00 90,789.00 2000 5/25/27 3026 275,863.00 343,800.00 2500 5/11/22 2400 221400.00 351,000.00 3000 Covariance 9/2/22 3729 303,951.00 375,956.00 3500 9/16/22 3340 281,753.00 325,444.00 4000 10/28/22 800 72,304.00 90,005.00 Correlation 12/9/22 2372 215,764.00 285,647.00 2/20/23 3281 265,741.00 298,633.00 5/13/23 3370 281,987.00 325,744.00 5/16/23 1735 150,789.00 210,456.00 6/19/23 623 69,258.00 88,750.00 8/19/23 3458 289,963.00 325,665.00 11/2/23 2187 200,741.00 235/456.00 12/7/23 3704 301,741.00 315,478.00 1/31/24 683 69,753.00 92,357.00 5/10/24 2990 247,753.00 251,756.00 23 10/19/24 3693 300/015.00 303,124.00 17/9/74 1008 80,250.00 87,459.00 4/28/25 1300 92,759.00 105,478.00 26 5/14/25 2716 235,741.00 240,145.00 9/21/25 3596 295,753.00 305,741.00 28 12/1/25 3449 289,987.00 310,459.00 12/16/25 3993 320,668.00 333,000.00 30 12/18/25 3758 315,452.00 $ 317,789.00 31 32 33Enter a function in cell F3 to calculate the Slope of the linear trendline. Enter a function in cell G3 to calculate the R80 of the linear trendline. Enter a function in cell H3 to calculate the standard error. Format the results as Currency. Use the FORECAST.L|NEAR function in cell F6 to forecast an appropriate value of a 4,500- squarefoot home based on the historical data in columns B:C. Format the results as Currency. Complete your analysis by adding formulas in the range G6:H6 to calculate the high and low thresholds of the forecast. Save and close Exp22_Excei_Ch08_CumulativeAssessmenL Variation_ Valuationxlsx. Exit Excel. Submit the le as directed. Ensure the Sales Data worksheet is active, then use the FREQUENCY function to calculate the frequency distribution of the square footage of homes located in column D. Place your results in the range H4:H11. Enter a function in cell J4 to calculate the standard deviation of the current home values (column E). Enter a function in cell J? to calculate the variance of the current home values (column E). Enter a function in cell J10 to calculate the covariance between square footage (column C) and the current home values (column E). Enter a function in cell J13 to calculate the correlation between square footage (column C) and the current home values (column E). Apply Accounting Number format to cell J4. Ensure the Analysis ToolPak add-in is active. Insert a histogram based on the square footage located in column C. Move the chart so the upper-left corner is in cell G15. Resize the chart so it lls the range G15:J28. Make the Subdivisions worksheet active. Use the Analysis ToolPak to perform a single factor ANOVA including labels on the range C2:E45. Place the results starting in cell G4. Resize columns G:M as needed. Create a forecast sheet that depicts increase in home valuation in the Gatewcod subdivision based on square footage. Set the Forecast square footage to 3500 and place the results on a new worksheet named Gatewocd Forecast. Resize and reposition the chart to ll the range G2:P22. (On a Mac, the Forecast Sheet feature is not available. Please insert a blank worksheet named Gatewood Forecast and advance to the next step). Make the Forecast worksheet active and create a scatter plot chart that places the square footage on the X axis and the Purchase Price on the Y axis. Be sure to add an appropriate chart title. Add a linear trendline to the chart that also shows the Equation and the R-squared value. Reposition the equation so it is in the upper-left corner of the plot area. Enter a function in cell E3 to calculate the intercept of the linear trendline created in the prior step. SQFT Gatewood Cooper Point Eagle Creek 900 146,928.00 350,198.00 289,710.00 950 122,560.00 310,928.00 375,325.00 1000 134,547.00 445,709.00 346,279.00 1050 144,425.00 380,624.00 360,791.00 1100 145,608.00 427,847.00 317,780.00 1150 145,240.00 455,445.00 423,339.00 1200 127,547.00 384,802.00 437,737.00 1250 149,113.00 307,869.00 307,040.00 1300 115,547.00 298,280.00 314,884.00 1350 135,531.00 417,476.00 461,954.00 1400 102,026.00 285,571.00 400,801.00 1450 101,832.00 401,967.00 334,618.00 1500 227,720.00 382,944.00 498,130.00 1550 265,272.00 379,957.00 441,067.00 1600 224,611.00 431,285.00 486,998.00 1650 257,625.00 430,821.00 285,591.00 1700 231,889.00 430,666.00 464,692.00 1750 217,072.00 333,644.00 354,709.00 1800 243,835.00 399,806.00 418,578.00 1850 259,639.00 281,825.00 298,731.00 1900 249,958.00 429,591.00 319,557.00 1950 220,978.00 312,855.00 349,667.00 2000 450,536.00 339,722.00 303,693.00 2050 342,649.00 471,916.00 339,221.00 2100 327,389.00 330,069.00 288,960.00 2150 473,456.00 285,655.00 393,103.00 2200 378,260.00 490,318.00 419,127.00 2250 418,567.00 285,836.00 452,202.00 2300 39,908.00 451,369.00 380,206.00 2350 437,626.00 419,323.00 318,920.00 2400 437,523.00 289,054.00 438,146.00 2450 438,320.00 390,346.00 293,407.00 2500 483,215.00 464,488.00 414,822.00 2550 442,827.00 402,768.00 364,514.00 2600 288,029.00 489,213.00 388,064.00 2650 454,657.00 320,586.00 407,494.00 2700 450,453.00 487,869.00 436,469.00 2750 371,346.00 340,490.00 331,261.00 2800 496,580.00 379,786.00 442,866.00 850 284,819.00 384,121.00 300,520.00 2900 304,310.00 419,650.00 389,481.00 .950 351,039.00 459,137.00 385,912.00 3000 418,331.00 464,687.00 285,497.00