Parrot tarsus versus wing length r= 0.65 Flower stigma height versus anther height r= 0.79 18- 16 16- 14- 14- poso 12- 12- 10- 60 Wing length (mm) 20 40 80 100 120 12 10 Anther height (mm) 8 14 16 Parrot wing length does not seem to be For each percentage increase in useful for predicting parrot tarsus length anther height, it is very likely that the given the form of the scatterplot. stigma height increases by a proportional percentage. Tarsus (mm) Stigma height (wu) iya
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.
Each
![Parrot tarsus versus wing length
r = 0.65
Flower stigma height versus anther height
r = 0.79
18-
16
16-
14-
14-
12 -
12-
10-
10
8-
6-
20
40
60
80
100
120
0 8
10
12
14
16
Wing length (mm)
Anther height (mm)
Parrot wing length does not seem to be
For each percentage increase in
useful for predicting parrot tarsus length
given the form of the scatterplot.
anther height, it is very likely that the
stigma height increases by a proportional
percentage.
Tarsus (mm)
Stigma height (mm)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F72d61663-e817-474e-8b58-0531acb6f8be%2F55cb6ef4-63eb-43b9-a513-8eb05f6d10e4%2Fzlhkrnd_processed.png&w=3840&q=75)
![Current BMI versus birth weight (12-year-old boys)
r = 0.14
Life expectancy versus age (U.S. females)
r = -0.99
80-
45-
40-
60-
35-
30-
о оо о о
25-
40-
20-
20-
15-
10-
50
100
150
200
20
40
60
80
100
120
Birth weight (oz)
Age (years)
Birth weight does not appear to give
For each percentage increase in age, it is
very likely that the life expectancy
increases by a proportional percentage.
useful information for predicting current
BMI for 12-year-old boys according to
the plot.
Answer Bank
True
False
Current BMI
Life expectancy (years)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F72d61663-e817-474e-8b58-0531acb6f8be%2F55cb6ef4-63eb-43b9-a513-8eb05f6d10e4%2Fsn867zt_processed.png&w=3840&q=75)
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On the basis of given information, there is True and False
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