sandra lives 14 miles away from her workplace how many miles does she drive to and from work in five days
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The number of candies that will be <u>left over</u> after giving everyone an equal amount is equal to 23.
<u>Given the following data:</u>
- Total number of candy = 320 pieces
- Number of classmates = 27 classmates
To calculate the number of candies that will be <u>left over</u> after giving everyone an equal amount:
In this exercise, you're required to determine the number of candies Phillipe would have as <u>left over</u> after giving everyone in his class an equal amount of candies.
<h3>How to solve this word problem.</h3>Thus, we would find the number of times 27 would divide 320 without any remainder.
- From the mixed fraction, we can deduce that the remainder is 23.
Therefore, the number of candies that will be <u>left over</u> after giving everyone an equal amount is equal to 23.
Read more on word problems here: brainly.com/question/13170908
Answer:
For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:
For this case we assume that we want to find a linear regression model given by:
Where:
represent the estimated slope for the model
represent the estimated intercept for the model
And for any estimation of the dependent variable is given by this model.
The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:
So the best option for this case is:
d. residual
Step-by-step explanation:
For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:
For this case we assume that we want to find a linear regression model given by:
Where:
represent the estimated slope for the model
represent the estimated intercept for the model
And for any estimation of the dependent variable is given by this model.
The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:
So the best option for this case is:
d. residual