Answer:
D) {12, 7, 6, 8, 9, 9, 7, 11, 14}
Step-by-step explanation:
The box plot for Set D (below) has
maximum = 14
3rd quartile = 11.5
IQR = 4.5
=====
Your box plot has
maximum = 12
3rd quartile = 10
IQR = 3
=====
Sets A, B, and C all fit your box plot.
Answer:
bde=30 degrees
Step-by-step explanation:
angle abc = 50 degrees
50+100=150
180-150=30degrees
The longest possible integer length of the third side of the triangle is 6 < x < 28
The sum of any two sides must be greater than the third side for a triangle to exist
let the third side be x
x + 11 > 17 and x + 17 > 11 and 11 + 17 > x
x > 6 and x > - 6 and x < 28
The longest possible integer length of the third side of the triangle is 6 < x < 28
The length of the 3 sides of a triangle needs to always be among (however no longer the same) the sum and the difference of the opposite two sides. As an example, take the instance of two, 6, and seven. and. consequently, the third side period should be extra than 4 and less than 8.
Learn more about triangles here: brainly.com/question/1675117
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Answer:
18x + 16
Step-by-step explanation:
(Not simplest form) 9x + 9x + 8 + 8
To get simplest form, just add the terms and integers together, which in this case would give you 18x + 16.
The statements about least squares regression analysis is true are I and III.
<h3>What is meant by regression analysis?</h3>
The statistical technique of regression analysis demonstrates the link between two or more variables. The method evaluates the relationship between a dependent variable and independent factors, and is frequently presented as a graph.
You can anticipate the effects of the independent variable on the dependent one by creating a regression analysis. For instance, we can claim that a linear regression model can adequately account for age and height.
Here,
From the given information in the question:
The statements I and III are correct.
And the statements are:
A point with a large residual is an outlier and the removal of an influential point from the data set could change the value of the correlation coefficient.
So, the statements I and III are correct for the given information in the question.
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