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For a bivariate data set on (x, y), if the means, standard deviations and correlation coefficient are
x̅ = 1.0, y̅ = 2.0, sx = 3.0, sy = 9.0, r = 0.8
Then the regression line of y on x is:
  • a)
    y = 1 + 2.4(x - 1)
  • b)
    y = 2 + 0.27(x - 1)
  • c)
    y = 2 + 2.4(x - 1)
  • d)
    y = 1 + 0.27(x - 2)
Correct answer is option 'C'. Can you explain this answer?
Most Upvoted Answer
For a bivariate data set on (x, y), if the means, standard deviations ...
Formula
The regression line of y on x is given as
y - y̅ = r × σy(x - x̅)/σx
Calculation
According to the question
y - 2 = 0.8 × 9(x - 1)/3
⇒ y - 2 = 2.4(x - 1)
∴ y = 2 + 2.4(x - 1)
Free Test
Community Answer
For a bivariate data set on (x, y), if the means, standard deviations ...
Given:
The means of x and y: x = 1.0, y = 2.0
The standard deviations of x and y: sx = 3.0, sy = 9.0
The correlation coefficient: r = 0.8

Explanation:
The regression line of y on x represents the line that best fits the data points in the scatter plot of x and y. This line can be expressed in the form of y = a + bx, where a is the y-intercept and b is the slope of the line.

Step 1: Calculate the slope (b) of the regression line:
The slope of the regression line can be calculated using the formula:
b = r * (sy / sx)

Given that r = 0.8, sy = 9.0, and sx = 3.0, we can substitute these values into the formula to find b:
b = 0.8 * (9.0 / 3.0) = 0.8 * 3.0 = 2.4

Therefore, the slope of the regression line is 2.4.

Step 2: Calculate the y-intercept (a) of the regression line:
The y-intercept of the regression line can be calculated using the formula:
a = y - b * x

Given that x = 1.0, y = 2.0, and b = 2.4, we can substitute these values into the formula to find a:
a = 2.0 - 2.4 * 1.0 = 2.0 - 2.4 = -0.4

Therefore, the y-intercept of the regression line is -0.4.

Step 3: Write the equation of the regression line:
Now that we have the slope (b = 2.4) and the y-intercept (a = -0.4), we can write the equation of the regression line:
y = -0.4 + 2.4x

Simplifying the equation, we get:
y = 2.4x - 0.4

Comparing this equation with the given options, we can see that the correct answer is option 'C':
y = 2.4(x - 1)

This equation represents the regression line of y on x for the given bivariate data set.
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For a bivariate data set on (x, y), if the means, standard deviations and correlation coefficient arex = 1.0, y = 2.0, sx= 3.0, sy= 9.0, r = 0.8Then the regression line of y on x is:a)y = 1 + 2.4(x - 1)b)y = 2 + 0.27(x - 1)c)y = 2 + 2.4(x - 1)d)y = 1 + 0.27(x - 2)Correct answer is option 'C'. Can you explain this answer?
Question Description
For a bivariate data set on (x, y), if the means, standard deviations and correlation coefficient arex = 1.0, y = 2.0, sx= 3.0, sy= 9.0, r = 0.8Then the regression line of y on x is:a)y = 1 + 2.4(x - 1)b)y = 2 + 0.27(x - 1)c)y = 2 + 2.4(x - 1)d)y = 1 + 0.27(x - 2)Correct answer is option 'C'. Can you explain this answer? for Civil Engineering (CE) 2024 is part of Civil Engineering (CE) preparation. The Question and answers have been prepared according to the Civil Engineering (CE) exam syllabus. Information about For a bivariate data set on (x, y), if the means, standard deviations and correlation coefficient arex = 1.0, y = 2.0, sx= 3.0, sy= 9.0, r = 0.8Then the regression line of y on x is:a)y = 1 + 2.4(x - 1)b)y = 2 + 0.27(x - 1)c)y = 2 + 2.4(x - 1)d)y = 1 + 0.27(x - 2)Correct answer is option 'C'. Can you explain this answer? covers all topics & solutions for Civil Engineering (CE) 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for For a bivariate data set on (x, y), if the means, standard deviations and correlation coefficient arex = 1.0, y = 2.0, sx= 3.0, sy= 9.0, r = 0.8Then the regression line of y on x is:a)y = 1 + 2.4(x - 1)b)y = 2 + 0.27(x - 1)c)y = 2 + 2.4(x - 1)d)y = 1 + 0.27(x - 2)Correct answer is option 'C'. Can you explain this answer?.
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