Question

The table shows the number of days that milk will keep as a
function of the temperature. Use the method of least squares to
find the function of the best-fitting linear model for the data
that gives the number of days milk can be stored safely where
*t* is temperature in °F, with data from

30 ≤ t ≤ 50.

(Round all numerical values to three decimal places.)

d(t) =

**Number of Days Milk Can be Stored Safely**

Temperature (°F) | 30 | 38 | 45 | 50 |
---|---|---|---|---|

Days | 24 | 10 | 5 | 0.5 |

Answer #1

6. Then number of infected individuals in a population can be
modeled with the following function:
20 I(t) = 10 − √ t,
where t is measured in days.
(a) Using linear approximation, estimate the number of in-
fected individuals at time t = 18. You should linearize around the
point t = 16.
(b) Starting at t = 16, use linear approximation to estimate the
number of newly infected individuals over the next 0.5 days.

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.
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 retail outlet observed that fewer customers came into the
store during days that the temperature outside was cold. To
determine a relationship that might exist between temperature and
customers, she gathered the following data. She felt that if she
knew this relationship, she could determine the sales staff needed
based on the weather.
Average daily outside temperature
Number of customers that day
5
10
7
15
6
17
12
19
25
30
32
30
45
36
50
45
65...

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...

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 data below are the temperatures on randomly chosen days
during a winter class and the number of absences on those days.
Assume variable x and y have significant correlation.
Temperature (X)
38
26
20
22
11
32
-5
16
22
Number of Absences (Y)
0
3
6
4
9
2
15
8
5
a) Sketch a scatter-plot and find the sample correlation
coefficient (with correct symbol).
b) Perform a hypothesis test to determine if significant linear
correlation exists at...

The table below shows the number of state-registered automatic
weapons and the murder rate for several Northwestern states.
x
11.6
8
6.7
3.7
2.6
2.6
2.3
0.5
y
14.1
10.6
9.7
7
6.4
6.1
6
4.5
x = thousands of automatic weapons
y = murders per 100,000 residents
This data can be modeled by the equation y=0.86x+3.98. Use this
equation to answer the following;
Special Note: I suggest you verify this equation by performing
linear regression on your calculator.
A)...

A realtor has 20 residential listings under contract. The
following table shows the number of days each of these 20 houses
has been on the market as of today. Use the data to complete parts
a through e below.
25
23
1
19
32
23
44
50
55
22
44
53
49
14
41
10
36
65
23
70
a. Calculate the mean for this population.
muequals
?(Type an integer or a? decimal.)
b. Calculate the sampling error using the...

The table below gives the list price and the number of bids
received for five randomly selected items sold through online
auctions. Using this data, consider the equation of the regression
line, yˆ=b0+b1x, for predicting the number of bids an item will
receive based on the list price. Keep in mind, the correlation
coefficient may or may not be statistically significant for the
data given. Remember, in practice, it would not be appropriate to
use the regression line to make...

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