Related questions
| sellprice | listprice | LIVINGAREA | ROOMS | BEDRMS | BATHRMS | AGE | ACRES | TAXES |
| 710.00 | 800 | 28 | 10 | 5 | 3 | 60 | 0.28 | 3167 |
| 875.00 | 900 | 18 | 8 | 4 | 1 | 12 | 0.43 | 4033 |
| 645.00 | 660 | 13 | 6 | 3 | 1 | 41 | 0.33 | 1471 |
| 690.00 | 700 | 17 | 7 | 3 | 1 | 22 | 0.46 | 3204 |
| 1160.00 | 1200 | 25 | 8 | 4 | 3 | 5 | 2.05 | 3613 |
| 675.00 | 700 | 18 | 7 | 4 | 3 | 9 | 0.57 | 3028 |
| 750.00 | 800 | 20 | 8 | 4 | 3 | 18 | 4.00 | 3131 |
| 1035.00 | 1125 | 22 | 8 | 4 | 2 | 16 | 2.22 | 5158 |
| 1355.00 | 1425 | 30 | 10 | 5 | 2 | 30 | 0.53 | 5702 |
| 445.00 | 450 | 10 | 5 | 3 | 1 | 43 | 0.30 | 2054 |
| 765.00 | 785 | 22 | 8 | 3 | 3 | 18 | 0.38 | 4127 |
| 432.50 | 450 | 16 | 7 | 3 | 1 | 50 | 0.65 | 1445 |
| 1170.00 | 1190 | 25 | 8 | 4 | 2 | 2 | 1.61 | 2087 |
| 527.50 | 580 | 20 | 8 | 4 | 1 | 13 | 0.22 | 2818 |
| 875.00 | 900 | 22 | 8 | 4 | 2 | 15 | 2.06 | 3917 |
| 825.00 | 850 | 17 | 8 | 4 | 2 | 33 | 0.46 | 2220 |
| 830.00 | 850 | 23 | 9 | 4 | 2 | 37 | 0.27 | 3498 |
| 680.00 | 700 | 19 | 7 | 3 | 1 | 22 | 0.63 | 3607 |
| 740.00 | 800 | 17 | 7 | 3 | 2 | 13 | 0.36 | 3648 |
| 755.00 | 765 | 19 | 8 | 4 | 2 | 24 | 0.34 | 3561 |
| 900.00 | 950 | 24 | 9 | 4 | 2 | 10 | 1.55 | 4681 |
| 1465.00 | 1525 | 26 | 8 | 4 | 3 | 6 | 0.46 | 7088 |
| 835.00 | 850 | 20 | 9 | 4 | 2 | 46 | 0.46 | 3482 |
| 950.00 | 965 | 22 | 9 | 5 | 2 | 37 | 0.48 | 3920 |
| 920.00 | 950 | 21 | 9 | 5 | 2 | 27 | 1.30 | 4162 |
| 785.00 | 825 | 20 | 8 | 4 | 2 | 7 | 0.30 | 3785 |
| 550.00 | 575 | 16 | 8 | 4 | 1 | 26 | 0.29 | 3103 |
| 675.00 | 725 | 18 | 7 | 4 | 1 | 35 | 0.43 | 3363 |
| 2835.00 | 3125 | 64 | 11 | 4 | 3 | 4 | 0.85 | 12192 |
| 900.00 | 925 | 20 | 8 | 4 | 2 | 11 | 1.00 | 3831 |
| 915.00 | 940 | 17 | 7 | 3 | 2 | 16 | 3.00 | 3564 |
| 925.00 | 965 | 20 | 9 | 3 | 2 | 56 | 6.49 | 3765 |
| 760.00 | 775 | 17 | 8 | 4 | 1 | 33 | 0.70 | 3361 |
| 740.00 | 765 | 13 | 6 | 3 | 2 | 22 | 0.39 | 3950 |
| 760.00 | 795 | 15 | 7 | 3 | 1 | 25 | 0.59 | 3055 |
| 730.00 | 750 | 16 | 7 | 3 | 1 | 31 | 0.36 | 2950 |
| 850.00 | 950 | 24 | 10 | 3 | 2 | 33 | 0.57 | 3346 |
| 635.00 | 650 | 20 | 8 | 4 | 1 | 65 | 0.40 | 3334 |
| 1325.00 | 1350 | 36 | 10 | 6 | 3 | 33 | 1.20 | 5853 |
| 785.00 | 815 | 18 | 8 | 4 | 2 | 12 | 1.13 | 3982 |
| 640.00 | 675 | 17 | 9 | 4 | 1 | 25 | 0.52 | 3374 |
| 550.00 | 600 | 15 | 8 | 4 | 2 | 11 | 0.59 | 3119 |
| 615.00 | 650 | 18 | 8 | 4 | 2 | 43 | 0.39 | 3268 |
| 1060.00 | 1150 | 39 | 12 | 5 | 3 | 202 | 4.29 | 3648 |
| 725.00 | 725 | 18 | 8 | 4 | 2 | 44 | 0.22 | 2783 |
| 645.00 | 675 | 10 | 6 | 3 | 1 | 15 | 1.00 | 2438 |
| 715.00 | 725 | 21 | 7 | 4 | 2 | 10 | 1.20 | 3529 |
| 1235.00 | 1260 | 29 | 9 | 4 | 2 | 4 | 1.25 | 4626 |
| 555.00 | 600 | 15 | 8 | 3 | 1 | 97 | 1.11 | 3205 |
| 665.00 | 725 | 26 | 7 | 3 | 1 | 42 | 0.36 | 3059 |
Base on the given data uploaded,
- Will you conclude that people can bargain price down when purchasing a house at 5% level of significance?
- Will you conclude that the 3-bedroom houses is cheaper than 4-bedroom houses?
Your answer needs to include 1. Output, 2. Ho and Ha, 3. P value, 4, statistical decision and 5. Interpretation.
1.
The concerned variables are listing price and selling price of the houses. If the people bargain, then selling price will be less than the listing price. Since the observations are coming from same sampling unit, we use paired t-test here.
Let Xi denotes the listing price and Yi denotes the selling price.
The difference in prices is
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Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house sellprice? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis) Each question need to include a spss or sas output.
Sig is not coming out as 0 Please share your screen shots also for more detailed?
Can this all be completed with SPSS along with all of the steps as well please?
- Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house sellprice? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis)
- Base on the same given data, conduct an analysis for the variable sale price to see if sale price is influenced by living area. Summarize your finding including all regular steps (learned in this module) for your method. Also, will you conclude that larger house corresponding to higher price (justify)?
Each question need to include a spss output.
Can this all be completed with SPSS along with all of the steps as well please
- Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house price? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis)
- Base on the same given data, conduct an analysis for the variable sale price to see if sale price is influenced by living area. Summarize your finding including all regular steps for your method. Also, will you conclude that larger house corresponding to higher price (justify)?
ANOVA or Regression based on the project data (provided in the module 4) and research question in the project file.
Your answer need to include 1. Output, 2. Ho and Ha, 3. P value, 4, statistical decision and 5. Interpretation.
Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house sellprice? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis) Each question need to include a spss or sas output.
Sig is not coming out as 0 Please share your screen shots also for more detailed?
Can this all be completed with SPSS along with all of the steps as well please?
- Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house sellprice? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis)
- Base on the same given data, conduct an analysis for the variable sale price to see if sale price is influenced by living area. Summarize your finding including all regular steps (learned in this module) for your method. Also, will you conclude that larger house corresponding to higher price (justify)?
Each question need to include a spss output.
Can this all be completed with SPSS along with all of the steps as well please
- Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house price? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis)
- Base on the same given data, conduct an analysis for the variable sale price to see if sale price is influenced by living area. Summarize your finding including all regular steps for your method. Also, will you conclude that larger house corresponding to higher price (justify)?
ANOVA or Regression based on the project data (provided in the module 4) and research question in the project file.
Your answer need to include 1. Output, 2. Ho and Ha, 3. P value, 4, statistical decision and 5. Interpretation.
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