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WorksheetsBivariate and Univariate Data Revision
Total questions: 12
Worksheet time: 7mins
The value of r-correlation coefficient is always:
0
r>1 or r<−1
0<r<1
−1<r<−1
Pearson's correlation coefficient is used to
find the standard deviation of the response variable
find how strongly two variables are associated
how good looking the scatterplot is
the gradient of the regression line
The correlation coefficient of -0.95 implies
strong positive association
weak negative association
weak non-linear association
strong negative association
Estimate the correlation coefficient of
the scatter plot shown above
0.75
-0.99
0.13
-0.88
Which of the following statements is correct?
x axis stands for independent variable and y axis stands for dependent variable.
Scatter plots can be used to describe relationships between categorical data.
Explanatory variable should be on the y axis
Response variable should be on the x axis
A pie seller at a football match finds that the number of pies (N) he sells is related to the temperature (t) in degrees Celsius of the day. The situation could be modelled by the equation
N = -25t + 775.
The predicted temperature during the day on which 475 pies are sold is:
8 degrees
9 degrees
-10 degrees
12 degrees
From a box plot, you cannot find
the median
the mean
the range
the third quartile
The median age of males in a town getting married is 32 years old. Which of the following is correct?
All males get married after 32 years old.
The average marriage age is 32 years old.
Less than 50% of males do not get marriage before 32.
32% of males are married in this town.
The shape of the box plot is
symmetrical
spread out
negatively skewed
positively skewed
The following equation can be used to predict the relative humidity (%) on any given day from its temperature (in °C).
humidity=95−2.05×temperature
The intercept for this regression equation predicts that
When the humidity is 0%, the temperature is 0° C
When the humidity is 95%, the temperature is 2.05° C
When the temperature is 0° C, the humidity is 95%
When the temperature is −2.05° C, the humidity is 95%
When the temperature is 95° C, the humidity is −2.05%
humidity=95−2.05×temperature
The slope indicates that
An increase of 2.05% humidity for each extra 1° C increase in temperature
A decrease of 95% humidity for each extra 1° C increase in temperature
An increase of 2.05° in temperature for each extra 1% increase in humidity
A decrease of 95° C in temperature for each extra 1% increase in humidity
A decrease of 2.05% humidity for each extra 1° C increase in temperature
humidity=95−2.05×temperature
Use the equation to predict the average relative humidity of a 23° C day
35.12%
37.5%
47.85%
95.00%
142.15%
