Price | Sqft | Beds | Baths | Col |
840000 | 2768 | 4 | 3.5 | 1 |
822000 | 2500 | 4 | 2.5 | 1 |
713000 | 2400 | 3 | 3 | 1 |
689000 | 2200 | 3 | 2.5 | 1 |
685000 | 2716 | 3 | 3.5 | 1 |
645000 | 2524 | 3 | 2 | 1 |
625000 | 2732 | 4 | 2.5 | 0 |
620000 | 2436 | 4 | 3.5 | 1 |
587500 | 2100 | 3 | 1.5 | 1 |
585000 | 1947 | 3 | 1.5 | 1 |
583000 | 2224 | 3 | 2.5 | 1 |
569000 | 3262 | 4 | 2 | 0 |
546000 | 1792 | 3 | 2 | 0 |
540000 | 1488 | 3 | 1.5 | 0 |
537000 | 2907 | 3 | 2.5 | 0 |
516000 | 1951 | 4 | 2 | 1 |
511000 | 1752 | 3 | 1.5 | 1 |
510000 | 1727 | 3 | 2 | 1 |
495000 | 1692 | 3 | 2 | 0 |
463000 | 1714 | 3 | 2 | 0 |
457000 | 1650 | 3 | 2 | 0 |
451000 | 1685 | 3 | 2 | 0 |
435000 | 1500 | 3 | 1.5 | 1 |
431700 | 1896 | 2 | 1.5 | 0 |
414000 | 1182 | 2 | 1.5 | 0 |
401500 | 1152 | 3 | 1 | 0 |
399000 | 1383 | 4 | 1 | 0 |
380000 | 1344 | 4 | 2 | 0 |
380000 | 1272 | 3 | 1 | 0 |
375900 | 2275 | 5 | 1 | 0 |
372000 | 1005 | 2 | 1 | 0 |
367500 | 1272 | 3 | 1 | 0 |
356500 | 1431 | 2 | 2 | 1 |
330000 | 1362 | 3 | 1 | 0 |
330000 | 1465 | 3 | 1 | 0 |
307500 | 850 | 1 | 1 | 0 |
Estimate: Price-Ao + Asqft + β2Beds + β2Baths + e, where Price, Saft, Beds, and Baths refer to ho...
Ches A realtor in Arlington, Massachusetts, is analyzing the relationship between the sale price of a home (Price in $), its square footage (Sqft), the number of bedrooms (Beds), and the number of bathrooms (Baths). She collects data on 36 sales in Arlington in the first quarter of 2009 for the analysis. A portion of the data is shown in the accompanying table. Price 672.000 569.077 Sqft 2,212 1.731 Beds Baths 5 1.0 11.5 307,500 850 1 1.0 Click here...
6 Exercise 14-35 Algo 33.71 points A realtor in Arlington, Massachusetts, is analyzing the relationship between the sale price of a home (Price in $), its square footage (Sqft), the number of bedrooms (Beds), and the number of bathrooms (Baths). She collects data on 36 sales in Arlington in the first quarter of 2009 for the analysis. A portion of the data is shown in the accompanying table. Price 728,000 695,538 Sqft 2,399 2,115 Beds 4 Baths 2.5 2.5 eBook...
A realtor in Arlington, Massachusetts, is analyzing the relationship between the sale price of a home (Price), its square footage (Sqft), the number of bedrooms (Beds), and the number of bathrooms (Baths). She collects data on 36 recent sales in Arlington in the first quarter of 2009 for the analysis. The data is shown in the accompanying table Price 840,000 2,768 822,000 2,500 713,000 2,400 689,000 2,200 685,000 2,716 645,000 2,524 625,000 2,732 620,000 2,436 587,500 2,100 585,000 1,947 583,000...
Excel File
GPA
GRE
2.8
720
3.1
740
3.5
720
3.5
740
2.2
750
3.5
770
3.9
640
3.6
750
2.4
680
2.3
770
2.3
700
2.9
770
2.1
640
2.2
770
2.5
740
3
770
3.9
670
3.1
760
3.3
680
2.1
690
2.5
750
3.1
700
2.6
680
2.7
650
Estimate: GPA 50 + 61GRE + ε, where GRE is a student's score on the math portion of the Graduate Record Examination (GRE) score and GPA is the...
Estimate: GPA = Bo + BIGRE + ε, where GRE is a student's score on the math portion of the Graduate Record Examination (GRE) score and GPA is the student's grade point average in graduate school. Click here for the Excel Data File Click here for the CSV Data File a. Use R's predict() function to construct the 90% confidence interval for the expected GPA for an individual who scored 730 on the math portion of the GRE. (Round answers...
data:
Price
Size
Bedrooms
Baths
Age
$235,000.00
1,530
3
2
6
$375,000.00
2,380
4
3
43
$199,950.00
720
2
1
2
$258,000.00
1,040
2
2
40
$96,500.00
484
1
1
43
$237,000.00
1,584
3
3
23
$829,000.00
2,701
5
3
7
$200,000.00
952
2
2
18
$328,500.00
1,098
3
3
75
$365,000.00
2,004
3
2
35
$116,000.00
640
2
1
41
$885,000.00
3,849
6
4
5
$250,000.00
2,010
3
2
84
$165,000.00
575
2
1
32
$159,900.00
984
2
2...
I need help putting this into Excel as I'm not sure how to find answers to these questions. I've only put part of the table in, otherwise it's too long. Any help is greatly appreciated! A) Develop the following simple linear regression models to predict the sale price of a house based upon a 90% level of confidence. A1) Write the regression equation for each model. A2) Sale price based upon square feet of living area. A3) Sale price based...
Construct a 90% confidence interval for the population average home sale price in Whatcom county. (b) What does the confidence interval mean? (c) How is the confidence interval related to the Central Limit Theorem? (d) What is the difference between a hypothesis test and a confidence interval? House Price 1 819500 2 499950 3 569000 4 220000 5 110000 6 499999 7 389900 8 399000 9 650000 10 459000 11 975000 12 749000 13 848000 14 529000 15 325000 16...
USE R SOFTWARE TO SOLVE THE PROBLEM and SHOW ALL YOUR WORK
WITH CODE.
Build the model one a multiple regression model including the
living area (), number of bedrooms (), and number of fireplaces ()
as predictor variables.
summary the statistic
Produce an ANOVA table. Report SST, SSR, and SSE , and their
corresponding degrees of freedom.
Model #2: a multiple regression model including the living
area, “Central Air” (an indicator variable coded as 1 if a house
has...
Exercise 14-35 Algo A realtor in Arington, Messschusetts, 1; 5no yzing the restionanla betw een tne saie price of 5 home Price In SI, ts "uner footage Gqft. tne number oroecrooms secsl, and tne number of oothrooms etnsl. Sne colects ast2 on 36 gsies 1n Arlington in the first quarter of 2009 for the analyss. A partionof the data s shown In the accompanying teble. 58,7 2,381.8 1 1.8 a. Estim te tne model Price . ·ySqt-o ,Bed; +63Bstn; ....