• The line of best fit crawling age = • Correlation coefficient:-0.7 Average crawling age: 31.77 -0.0777(temperature) + 35.7 %3D 2. Which statement represents a valid conclusion and justification that the researchers can make as a result of the study? O A Since the correlation coefficient is less than 0, there is insufficient evidence to conclude causation or correlation for this study. O B. The average crawling age of 31.77 weeks provides evidence that warmer temperatures at the time a baby is six months old causes the baby to crawl earlier. O C. The correlation coefficient of -0.7 and accompanying graph provide evidence that there is a moderately strong, negative, linear relationship between average monthly temperature and the average crawling age of babies. This correlation between the two variables implies that there is a cause-and-effect relationship between the two. O D. The correlation coefficient of -0.7 and accompanying graph provide evidence that there is a moderately strong, negative, linear relationship between average monthly temperature and the average crawling age of babies. While there is a correlation between the two variables, that does not imply there is a cause-and- effect relationship between the two.
• The line of best fit crawling age = • Correlation coefficient:-0.7 Average crawling age: 31.77 -0.0777(temperature) + 35.7 %3D 2. Which statement represents a valid conclusion and justification that the researchers can make as a result of the study? O A Since the correlation coefficient is less than 0, there is insufficient evidence to conclude causation or correlation for this study. O B. The average crawling age of 31.77 weeks provides evidence that warmer temperatures at the time a baby is six months old causes the baby to crawl earlier. O C. The correlation coefficient of -0.7 and accompanying graph provide evidence that there is a moderately strong, negative, linear relationship between average monthly temperature and the average crawling age of babies. This correlation between the two variables implies that there is a cause-and-effect relationship between the two. O D. The correlation coefficient of -0.7 and accompanying graph provide evidence that there is a moderately strong, negative, linear relationship between average monthly temperature and the average crawling age of babies. While there is a correlation between the two variables, that does not imply there is a cause-and- effect relationship between the two.
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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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
Transcribed Image Text:Average Monthly Temperature (OF)
• The line of best fit crawling age = -0.0777(temperature) + 35.7
• Correlation coefficient:-0.7
Average crawling age: 31.77
Which statement represents a valid conclusion and justification that the researchers can make as a result of the study?
O A Since the correlation coefficient is less than 0, there is insufficient evidence to conclude causation or
correlation for this study.
The average crawling age of 31.77 weeks provides evidence that warmer temperatures at the time a baby
is six months old causes the baby to crawl earlier.
C. The correlation coefficient of -0.7 and accompanying graph provide evidence that there is a moderately
strong, negative, linear relationship between average monthly temperature and the average crawling age of
babies, This correlation between the two varjables implies that there is a cause-and-effect relationship
between the two.
The correlation coefficient of -0.7 and accompanying graph provide evidence that there is a moderately
strong, negative, linear relationship between average monthly temperature and the average crawling age of
babies. While there is a correlation between the two variables, that does not imply there is a cause-and-
effect relationship between the two.
D.
W
DELL
Transcribed Image Text:To investigate whether air temperature influences the age at which a baby learns to crawl, researchers conducted a
study of 414 babies. The graph and accompanying statistics provide information about the average monthly
temperature, in degrees Fahrenheit (F). when a baby was six months old and the average age, in weeks, when the
baby first started to crawl.
Temperature and Age Babies First Crawl
36
34
32
30
40
50
60
70
80
Average Monthly Temperature (°F)
• The line of best fit: crawling age = -0.0777(temperature) +35.7
Correlation coefficient:-0.7
Average crawling age: 31.77
Which statement represents a valid conclusion and justification that the researchers can make as a result of the study?
A.
Since the correlation coefficient is less than 0, there is insufficient evidence to conclude causation or
correlation for this study.
Average Crawling Age (weeks)
Expert Solution
Step 1
as information given in the example.
correlation = -0.7
we know that correlation coefficient lies in between -1 to 1 .
-0.7 indicates that there is moderately strong negative correlation in between temperature and crawling age of babies .
in this regression model there is only one variable which shows the relationship between temperature and crawling age of
babies .which indicates that there is cause and effect relationship between them .
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