Question: Please use excel 8 Problem 4. Data in this template include the appraised value (in $1000s), land area of the property (in acres), and age

Please use excel

8 Problem 4. Data in this template include the appraised value (in $1000s), land area of the property (in acres), and age in years) for a sample of 36 single-family homes located in Glen Cove, a small city in Nassau County, NY. Develop a multiple linear regression model and a) State the multiple regression equation b) Interpret the meaning of the slops b, and by e) Highlight the coefficient of determination and explain its meaning d) Predict the appraised value for a house that has a land area of 0.32 acres and is 52 years old e) Is there a linear relationships between 1) Appraised value and Acres? 2) Appraised value and Age? 1 2 Appraised Value Land (acres) Age (years) 3 ($1000s) 4 477.0 0.3407 51 5 375.0 0.3302 56 6 440.0 0.2740 34 7 559.4 0.5718 23 416.9 0.3659 51 9 385.1 0.3400 93 10 326.0 0.2918 53 11 760.7 0.6125 12 12 228.7 0.3339 57 13 646.7 0.2410 20 361.7 0.2873 59 15 466.0 0.5310 53 16 367.2 0.3630 51 282.7 0.2258 17 18 315,3 0.2803 69 19 299.4 0.2824 57 20 407.7 0.4959 49 21 6245 0.7655 51 22 325.1 0.2832 57 23 374,5 0.2545 sa 24 3753 0.3865 25 3161 0.2258 102 26 452.7 0.4746 27 364.1 0.2584 28 4743 0.3391 F51 FS2 FS3 PS4 FSS Ready Be Accesibilitate 68F Partly sunny 14 17 a Esc DI x Pes! 3 Effects Area Print Titles Themes Page Setup 122 V6 VOX v fx B C D G Land (acres) Age (years) 2 Appraised Value 3 ($1000s) 4 477.0 5 375.0 6 440.0 7 559.4 8 416.9 9 385.1 10 326.0 11 760.7 12 228.7 13 646.7 14 361.7 15 466.0 16 367.2 17 282.7 18 315.3 19 299.4 20 407.7 21 624.5 22 325.1 23 374.5 24 375.3 25 316.1 26 452.7 27 364.1 28 474.3 29 331.0 30 343.8 31 287.6 32 408.0 33 232.9 34 288.4 35 396.7 36 613.5 37 314.1 38 363.5 39 364,3 40 41 42 43 ORANN 0.3407 0.3302 0.2740 0.5718 0.3659 0.3400 0.2918 0.6125 0.3339 0.2410 0.2873 0.5310 0.3630 0.2258 0.2803 0.2824 0.4959 0.7655 0.2832 0.2545 0.3865 0.2258 0.4746 0.2584 0.3391 0.5736 0.2999 0.2338 0.2602 0.1962 0.1714 0.3849 0.6545 0.1722 0.1435 0.2755 51 56 34 23 51 93 53 12 57 20 59 53 51 17 69 57 49 51 57 83 76 102 50 46 45 87 59 49 39 99 52 44 46 78 71

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