Question

The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1) is the square footage, the second independent variable (x2) is the number of bedrooms, and the third independent variable (x3) is the age of the house.

Square Feet | Number of Bedrooms | Age | Selling Price |
---|---|---|---|

1389 | 2 | 2 | 127800 |

1477 | 3 | 2 | 146900 |

1870 | 3 | 3 | 150800 |

1882 | 3 | 4 | 154000 |

1970 | 3 | 4 | 155500 |

1994 | 3 | 4 | 202600 |

2573 | 3 | 8 | 219900 |

2685 | 4 | 13 | 253500 |

3077 | 5 | 14 | 293400 |

Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.

Answer #1

We can directly use here Excel for regression,

Step1) Enter data in Excel.

Step 2) Data >>data analysis >>Regression >> select Input range y and input range x(all three columns data of (i.e. x1, x2, x3) >>ok

**P value for regression equation is =0.0018**

The following data was collected to explore how the number of
square feet in a house, the number of bedrooms, and the age of the
house affect the selling price of the house. The dependent variable
is the selling price of the house, the first independent variable
(x1) is the square footage, the second independent variable (x2) is
the number of bedrooms, and the third independent variable (x3) is
the age of the house. Effects on Selling Price of Houses...

The following data was collected to explore how the number of
square feet in a house, the number of bedrooms, and the age of the
house affect the selling price of the house. The dependent variable
is the selling price of the house, the first independent variable
(x1x1) is the square footage, the second independent variable
(x2x2) is the number of bedrooms, and the third independent
variable (x3x3) is the age of the house.
Effects on Selling Price of Houses...

The following data was collected to explore how a student's age
and GPA affect the number of parking tickets they receive in a
given year. The dependent variable is the number of parking
tickets, the first independent variable (x1x1) is the student's
age, and the second independent variable (x2x2) is the student's
GPA.
Effects on Number of Parking Tickets
Age
GPA
Number of Tickets
17
2
1
17
2
2
18
2
4
20
2
5
20
3
5
22...

The following data was collected to explore how the average
number of hours a student studies per night and the student's GPA
affect their ACT score. The dependent variable is the ACT score,
the first independent variable (x1) is the number of hours spent
studying, and the second independent variable (x2) is the student's
GPA.
Effects on ACT Scores
Study Hours
GPA
ACT Score
1
2
17
2
3
18
3
4
20
5
4
31
5
4
31
Step...

The following data was collected to explore how the average
number of hours a student studies per night and the student's GPA
affect their ACT score. The dependent variable is the ACT score,
the first independent variable (x1) is the number of hours spent
studying, and the second independent variable (x2) is the student's
GPA.
Study hours
GPA
ACT score
0
2
17
1
2
19
5
2
28
5
3
29
6
4
31
Find the p-value for the...

The following data was collected to explore how the average
number of hours a student studies per night and the student's GPA
affect their ACT score. The dependent variable is the ACT score,
the first independent variable (x1) is the number of hours spent
studying, and the second independent variable (x2) is the student's
GPA. Effects on ACT Scores
Study Hours GPA ACT Score
4 3 31
4 3 30
3 3 18
2 2 17
2 2 17
Step...

The following data was collected to explore how a student's age
and GPA affect the number of parking tickets they receive in a
given year. The dependent variable is the number of parking
tickets, the first independent variable (x1x1) is the student's
age, and the second independent variable (x2x2) is the student's
GPA.
Effects on Number of Parking Tickets
Age
GPA
Number of Tickets
23
44
99
23
44
88
22
44
66
20
44
55
19
33
55
19...

One of the biggest factors in determining the value of a home is
the square footage. The accompanying data represent the square
footage and selling price (in thousands of dollars) for a random
sample of homes for sale in a certain region. Complete parts (a)
through (h) below.
Square Footage, x Selling Price ($000s), y
2138 369.6
3278 389.4
1168 196.1
1973 337.8
3185 633
2860 384.9
4046 617.3
2130 364.4
2492 406.7
1679 293.4
1826 277.1
3820 691.5
(a)...

Data were collected from a random sample of 340 home sales from
a community in 2003. Let Price denote the selling price (in
$1,000), BDR denote the number of bedrooms, Bath denote the number
of bathrooms, Hsize denote the size of the house (in square
feet), Lsize denote the lot size (in square feet), Age denote the
age of the house (in years), and Poor denote a binary variable
that is equal to 1 if the condition of the house...

One of the biggest factors in determining the value of a home is
the square footage. The accompanying data represent the square
footage and selling price (in thousands of dollars) for a random
sample of homes for sale in a certain region. Complete parts (a)
through (h) below.
Square Footage, x
Selling Price ($000s), y
2133
369
3052
355.1
1074
181.5
1968
336.9
3062
614.2
2852
382.3
4292
655.7
2186
373.2
2496
407.4
1718
299.8
1718
260.1
3739
679
a)...

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