Question

The following table shows the hot dogs bought from a street vendor over the course of eight days ("Demand"). Also shown is the temperature for each day in degrees Celsius.

Complete parts a and b below. nbsp

Temperature (degrees C ) 18 13 22 18 8 13 18 20

Demand 45 31 35 38 19 22 43 32

a. Calculate the slope and y-intercept for the linear regression equation for these data.

b. Predict the demand for hot dogs on a day with a temperature of 10 °C.

Answer #1

x | y |

18 | 45 |

13 | 31 |

22 | 35 |

18 | 38 |

8 | 19 |

13 | 22 |

18 | 43 |

20 | 32 |

a) The least square estimates for equation y=a+bx, where x=temperature and y=demand, are given by:

Using the values we've calculated, we get a=9.364, b=1.462

Therefore, the regression line of Demand on Temperature is given as : Y= 9.364+ 1.462x

b) The demand for hot dogs on a day with a temperature of 10 °C , that is when x=10, then Y=9.364+14.62=23.984

The following table shows the hot dogs bought from a street
vendor over the course of eight days ("Demand"). Also shown is the
temperature for each day in degrees Celsius. Complete parts a and b
below.
Temperature (°C)
18
11
22
16
7
10
16
20
Demand
48
29
36
40
17
22
43
31
a. Calculate the slope and y-intercept for the linear regression
equation for these data.
y with caret = _____+(____) x

The following table shows the hot dogs bought from a street
vendor over the course of eight days ("Demand"). Also shown is the
temperature for each day in degrees Celsius. Complete parts a and b
below.
Temperature °C
18
10
22
17
7
14
17
19
DemandDemand
47
31
35
38
16
22
40
31
a. Calculate the slope and y-intercept for the linear
regression equation for these data.

The following table shows the hot dogs bought from a street
vendor over the course of eight days ("Demand"). Also shown is the
temperature for each day in degrees Celsius. Complete parts a and b
below.
Temperature °C 21 12 23 19 8 11 18 22
Demand 48 30 36 42 17 25 41 35
a. Calculate the slope and y-intercept for the linear
regression equation for these data. y=+x (Round to two decimal
places as needed.)
b. Predict the...

The following table shows the hot dogs bought from a street
vendor over the course of eight days ("Demand"). Also shown is the
temperature for each day in degrees Celsius. Complete parts a and b
below. nbsp Temperature left parenthesis degrees Upper C right
parenthesis nbsp Temperature °C 22 11 24 16 8 14 17 19 Demand 45 29
35 40 16 21 44 31 a. Calculate the slope and y-intercept for the
linear regression equation for these data. ModifyingAbove...

The following table shows the hot dogs bought from a street
vendor over the course of eight days ("Demand"). Also shown is the
temperature for each day in degrees Celsius.
Temperature
21
10
25
16
9
14
17
23
Demand
49
31
35
39
19
23
44
35
Calculate the slope and y-intercept for the linear regression
equation for these data.
Calculate the slope and y-intercept for the linear regression
equation for these data.
Predicted demand+ _ + _...

The following table shows the hot dogs bought from a street
vendor over the course of eight days ("Demand"). Also shown is the
temperature for each day in degrees Celsius.
Temperature (°C)
22
9
22
18
6
10
19
21
Demand
49
30
36
40
18
22
42
32
A linear regression on the data gives the equation below.
Complete parts a through d below.
Predicted Demand
a. Calculate the SST.
b. Partition the total sum of squares into the...

The following table shows the hot dogs bought from a street
vendor over the course of eight days ("Demand"). Also shown is the
temperature for each day in degrees Celsius.
Temperature (°C)
18
9
23
18
7
11
16
19
Demand
45
32
34
40
18
23
44
32
A linear regression on the data gives the equation below.
Complete parts a through d below.
Predicted Demand=16.78 + 1.11 (temperture_)
A Calculate the SST. (two decimal
places)_____
b. Partition the...

1. David is a street vendor who sells hot dogs in the city and
would like to develop a regression model to help him predict the
daily demand for his product in order to improve inventory control.
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