Note that with |x|, the value x will always be positive when simplified. This means that:
B) |-3.5|, |4.2|, |-9| is your answer, because it becomes, 3.5, 4.2, 9
hope this helps
The formula for Sums of squares of the residuals (SSR) is attached below.
Therefore, option B is correct:
B. I would calculate the difference between the observed outcome (Y) and the predicted value of Y (Y_hat), square each one of these differences, and add them up.
The code chunk that lets the analyst create the phone_number column is: unite(customers, "phone_number", area_code, phone_num, sep="-"
<h3>What is a data frame?</h3>
A data frame refers to a two-dimensional array-like structure or table that is made up of rows and columns, which is typically used for storing data in R Studio using the R programming language.
In Computer programming, a data frame is a list of vectors that are all equal in length, and each column consist of values of one variable while each row consist of a set of values from each column.
<h3>The executable code in R Studio.</h3>
In this scenario, the code chunk that would be used to create a data frame that combines the two columns into a single column (phone_number) is:
- unite(customers, "phone_number", area_code, phone_num, sep="-"
Read more on data frame here: brainly.com/question/25558534
Answer:
apples juice, salad oil, salt water
Explanation:
