Use the table below to make a chi-analysis

sell price list price 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

Will you conclude that a larger house corresponds to a higher selling price?Use a 5% level of significance.

(In order to put the data into a format for Chi-square analysis, the data set was modified to convert the selling price and living area from numerical variables to categorical variables.The variable for selling price was split into two categories:"above the mean selling price (1) or not (0)".The variable for living area was split into two categories:"at/above the median living area (1) or not (0)".)

Fill in the blanks with the numerical values from the SPSS output that you ran to answer the above question.

You must input your answerexactlyas the measurement appears (to the same number of decimal places) on the SPSS output.Otherwise the automated grader will mark it incorrect.

The number of homes that were below the median living area (0) and that were below the mean selling price (0) is Blank 1.(Input a whole number.)

The number of homes that were below the median living area (0) and that were above the mean selling price (1) is Blank 2.(Input a whole number.)

The number of homes that were at/above the median living area (1) and that were below the mean selling price (0) is Blank 3.(Input a whole number.)

The number of homes that were at/above the median living area (1) and that were above the mean selling price (1) is Blank 4.(Input a whole number.)

The P-value is Blank 5.

The level of significance is Blank 6 %.(Input a whole number.)

From the SPSS output, there are Blank 7 % of the smaller homes that have a selling price above the mean and Blank 8 % of the larger homes that have a selling price above the mean.

Question 30 Points

NOTE: Questions 1, 2 and 3 are together.

Paste the output table(s) from SPSS into the text box below to support your answers for Questions 1 and 2.

Follow this methodexactlyto paste the SPSS table into blackboard (otherwise you get an error message and can not paste the SPSS output into blackboard):

• right click on the SPSS output table and select EDIT
• then chooseEDITSELECTTABLE(make sure that the entire table is highlighted)
• use control C to copy
• use control V to paste into the text box in blackboard
• Unfortunately, you lose the formatting of the table.But that's okay because I am checking if the SPSS output is correct/not correct and if it supports your answers.You do not need to fix the formatting.
• But because you lose formatting, you will need to refer back to the formatted SPSS output tables to be able to read the values.
• repeat if you have an additional output table(s) to paste into the textbox

Running SPSS and providing the output isrequired.

• You must paste the SSPS output(s) into the textbox.
• If you do not paste the SPSS output(s) into the textbox, you will score azeroon the previous two questions.

The SPSS output(s) pasted in the text box must MATCH and SUPPORT your answers.

• If the SPSS output(s) doesn't match and support your numerical answers, you will score azeroon the previous two questions.

Paste the output table(s) from SPSS into the text box below.