Answer:

Step-by-step explanation:
<u>Simple Linear Regression
</u>
It a function that represents the relationship between two or more variables in a given data set. It uses the method of the least-squares regression line which minimizes the error between the estimate function and the real data.
Let's compute the best-fit line for the data


First, we find the sums


Then, we compute the averages values


We will also compute the sums of the cross-products and the sum of the squares



We will compute Sxy and Sxx





The slope of the linear regression function is given by

The y-intercept ot the linear function is


Thus the best-fit line is

The correct option is the last one
6 3
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250
ignore this sentence
Answer:
Yes its C
Step-by-step explanation:
First off the y intercepts + 3 and the line hits it not -3 so option D is out
Also the slope is negative so Option A and B are out
Answer:
-83 1/3 > -83.518
Step-by-step explanation:
-8 1/3 = -8.333333...
Answer:
2x + 4y = 110
Step-by-step explanation:
Let
The quantity of small tables = x
The quantity of large tables = y
The smaller tables can fit 2 people, the larger tables can seat 4 people.
Equation that describes the relationship between the quantity of small tables and the quantity of large tables, assuming exactly 110 people need seats.
Number of people×quantity (small table) + number of people×quantity (large table) = 110
2x + 4y = 110