The linear regression method seeks to predict values of a(n) dependent variable based on values of a(n) independent variable.
According to the statement
we have to explain the linear regression method and explain the way by which this method is used to predict the values.
So, For this purpose we know that the
Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship.
And
Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent variable.
from these definitions it is clear that the there is a presence of two types of variables which are dependent and independent variables.
So, The linear regression method seeks to predict values of a(n) dependent variable based on values of a(n) independent variable.
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Step-by-step explanation:
-3 (4a-5b)
=-3×4a -(-3×5b)
=-12a+15b
About 25 percent of the data are greater than 20.(option a)
About 50 percent of the data are less than 15. (option b)
20 is wrongly interpreted as the median. 20 is the third quartile. The data between 11 and 20 is 50%.
<h3>How can a box-and-whisker plot be interpreted?</h3>
A box plot is used to study the distribution and level of a set of scores. The scores are distributed into 4 groups. Each group has a value of 25%
The box plot consists of two whiskers and a box. The first whisker represent the minimum value. The second whisker represents the maximum number.
On the box, the first line to the left represents the lower (first) quartile. 25% of the score represents the lower quartile. The next line on the box represents the median. 50% of the score represents the median. The third line on the box represents the upper (third) quartile. 75% of the scores represents the upper quartile.
20 is the third quartile. Score greater than 20 is 25% (100% - 75%)
15 is the median. Scores less than 15 is 50% (100 - 50%),
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Answer:
it should be 4y+10
Step-by-step explanation:
hope this helps
1/3 • 12= 12/3. 12/3=4. So she needs 4 ounces of cheese for a pound of pizza.