4. From the regression equation, what is the predicted female lifeexpectancy (in years) when the birthrate is 26.5 births per 1000people? (Round your answer to at least one decimal place.) 8535.767.780-41.563.931.963.375メメ19.973.070.メ50.560.465.24.472.76050.163.25513.872.55050.354.645.657.915.976.2Figure 126.671.9Send data to ExcelBased on the sample data and the regression line, answer the following:1. Fill in the blank: For these data, birthrates that are less than themean of the birthrates tend to be paired with female life expectanciesthe mean of the female life expectancies.greater thanthat are2. Fill in the blank: According to the regression equation, for anincrease of one (birth per 1000 people) in birthrate, there is acorrespondingdecreaseof 0.46 years in female life expectancy.3. From the regression equation, what is the predicted female lifeexpectancy (in years) when the birthrate is 45.6 births per 1000people? (Round your answer to at least one decimal place.)4. From the regression equation, what is the predicted female lifeexpectancy (in years) when the birthrate is 26.5 births per 1000people? (Round your answer to at least one decimal place.)?

Given observation and calculation is shown below X Y x2 y2 xy 35.7 67.7 1274.49 4583.29 2416.89…

Answered: 4. From the regression equation, what…

4. From the regression equation, what is the predicted female life expectancy (in years) when the birthrate is 26.5 births per 1000 people? (Round your answer to at least one decimal place.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

4. From the regression equation, what is the predicted female life
expectancy (in years) when the birthrate is 26.5 births per 1000
people? (Round your answer to at least one decimal place.)

85
35.7
67.7
80-
41.5
63.9
31.9
63.3
75
メメ
19.9
73.0
70.
メ
50.5
60.4
65.
24.4
72.7
60
50.1
63.2
55
13.8
72.5
50
50.3
54.6
45.6
57.9
15.9
76.2
Figure 1
26.6
71.9
Send data to Excel
Based on the sample data and the regression line, answer the following:
1. Fill in the blank: For these data, birthrates that are less than the
mean of the birthrates tend to be paired with female life expectancies
the mean of the female life expectancies.
greater than
that are
2. Fill in the blank: According to the regression equation, for an
increase of one (birth per 1000 people) in birthrate, there is a
corresponding
decrease
of 0.46 years in female life expectancy.
3. From the regression equation, what is the predicted female life
expectancy (in years) when the birthrate is 45.6 births per 1000
people? (Round your answer to at least one decimal place.)
4. From the regression equation, what is the predicted female life
expectancy (in years) when the birthrate is 26.5 births per 1000
people? (Round your answer to at least one decimal place.)
?

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