Answer:
A=28°;B=140°C=12°
Step-by-step explanation:
I hope this helps
Quantity of coffee used per day by breakfast cafe =
Quantity of coffee it will use in a seven day week =
Therefore , a breakfast cafe will use =
By multiplying the daily coffee consumption of 3 1/4 lbs by 7, we find that the cafe uses 22 3/4 lbs of coffee in a week.
In a week, the cafe's coffee consumption is calculated by multiplying its daily usage of 3 1/4 lbs by 7 (the number of days in a week). This computation yields 22 3/4 lbs as the total weekly coffee consumption. This process involves multiplying the daily quantity by the number of days to obtain the weekly total. Therefore, the cafe utilizes 22 3/4 lbs of coffee throughout a 7-day week. This method of determining weekly coffee usage is crucial for managing inventory and ensuring that the cafe meets the demands of its customers efficiently. By understanding their weekly consumption, the cafe can effectively plan and stock their coffee supply.
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Answer:
0.625
Step-by-step explanation:
15 divided by 24 which equals 0.625
y-intercept, b0 = 4.7.17
Slope, b1 = 1.46
MSE = ???????? NEED THIS
What is the forecast for year 10? 19.283
Round your interim computations and final answer to two decimal places.
Answer:
a) find the attached graph
b) find the attachment no 4 and 5
c)
Step-by-step explanation:
a) A trend pattern exist if the time series plot gradually shifts to higher or lower values over a long period of time
find the attached graph
b) Liner Trend Equation
Where is the linear trend forecast in period t , is the intercept of the linear trend time, is the slope of the linear trend line, t is the time period
now computing the slope and intercept
formula is attached ( 3 no attachment)
is the value of the time series in period t, n is the number of time periods
Y(bar) is the average value and t(bar) is the average value of t
due to unavailability of equation in math-script i attached the calculation part of this question( 4th and 5th no attachment)
thus the linear trend equation is (1)
To find the Mean Squared Error (MSE), you can calculate the difference between the actual and predicted values, square these differences, and find their average. To forecast for a specific year, you can insert the year as the 'x' value into the simple linear regression equation.
The question is asking for the Mean Squared Error (MSE) for a simple linear regression model based on the enrollment data of Jefferson Community College. This involves using the y-intercept (b0) and slope (b1) values provided, and the given data points. You can calculate the MSE by taking the difference between the actual and predicted values (errors), squaring these differences, and then finding the average of these squared differences for the entire dataset.
Then, to forecast for year 10, you use the simple linear regression model equation, y = b0 + b1*x, where y represents the predicted enrollment. So, for year 10, you would insert 10 as your 'x' value into the equation, which results in the forecast value provided which is 19.283.
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Answer:
hello! :)
-167
Answer: 167
Step-by-step explanation:
First get X by itself.
substract 27 to each side
194=27-x
194= 27 -27 -x
194 - 27 = X
X= 167
Answer:
It may look simple to the owner because he is not the one losing a job. For the three machinists it represents a major event with major consequences
Answer:
I will need to buy 22.5 pounds of turkey and pay $23.63
Step-by-step explanation:
Proportions
Each person is planned to eat 2 x 3/8 pound servings of turkey for thanksgiving dinner. This means each person will eat
pounds of turkey.
There are going to be 15 people at the dinner, thus the total turkey needed is:
The turkey costs $1.05 per pound, thus the total cost is
22.5*$1.05 = $23.63
I will need to buy 22.5 pounds of turkey and pay $23.63