Answer:
SAS
Step-by-step explanation:
Because of the the lines on the two sides and the one angles
Graph 60 to 40 try this method I did this question but different questions
Reasoning Criticism Lisa modeled 2 with a number line (3). Her logical number line is -6.
<h3>What is meant by number line?</h3>
- A number line is a graphical representation of numbers on a straight line. A number line has numbers that are sequentially placed at equal distances along its length.
- It can be extended in any direction indefinitely and is usually represented horizontally. A number line is a horizontal line with mathematical increments spaced evenly.
- The numbers on the line will determine how to answer the number on the line. The number's use is determined by the question that goes with it, such as plotting a point.
- The number line is a straight line with divisions at equal intervals, similar to a scale.
Therefore, Reasoning Criticism Lisa modeled 2 with a number line (3). Her logical number line is -6.
To learn more about number line, refer to:
brainly.com/question/24644930
#SPJ1
Answer:
A
Step-by-step explanation:
I honestly couldn't tell you how to do this, I don't understand it. I just took the test and got this question correct. The answer is A, (5-7)^2.
ŷ= 1.795x +2.195 is the equation for the line of best fit for the data
<h3>How to use regression to find the equation for the line of best fit?</h3>
Consider the table in the image attached:
∑x = 29, ∑y = 74, ∑x²= 125, ∑xy = 288, n = 10 (number data points)
The linear regression equation is of the form:
ŷ = ax + b
where a and b are the slope and y-intercept respectively
a = ( n∑xy -(∑x)(∑y) ) / ( n∑x² - (∑x)² )
a = (10×288 - 29×74) / ( 10×125-29² )
= 2880-2146 / 1250-841
= 734/409
= 1.795
x' = ∑x/n
x' = 29/10 = 2.9
y' = ∑y/n
y' = 74/10 = 7.4
b = y' - ax'
b = 7.4 - 1.795×2.9
= 7.4 - 5.2055
= 2.195
ŷ = ax + b
ŷ= 1.795x +2.195
Therefore, the equation for the line of best fit for the data is ŷ= 1.795x +2.195
Learn more about regression equation on:
brainly.com/question/29394257
#SPJ1