(е) 1.0 Q.5). Using the information given in Question 4, what is the predicted value of y when x = 10? The slope of the regression line is 1.0. (a) 12.2 (b) 13.4 (c) 16.7 (d) 7.7

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
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Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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Q.4). Two variables x and y are believed to have a straight-line relationship. We would
like to predict y from x. Minitab tells us this about x and
y:
Descriptive Statistics: x, y
Variable NO.
Mean
StDev Minimum Maximum Median
X
7
7.00
4.32
1.00
13.00
7.00
y
7
13.43
4.43
8.00
21.00
13.00
Pearson correlation of x and y = 0.941
Use this information for this question and the two following. What is the intercept of
the regression line for predicting y from x?
(а) -5.3
(b) 6.4
(с) 0.9
(d) 6.7
(е) 1.0
Q.5). Using the information given in Question 4, what is the predicted value of y when
X = 10? The slope of the regression line is 1.0.
(а) 12.2
(b) 13.4
(c) 16.7
(d) 7.7
Q.6). In Question 4, some information is given about two variables x and y. From the
information given, does it make sense to find the regression line?
(a) No, because x and y have outliers
(b) Yes
(c) No, because the correlation is not a good measure of the relationship between x
and
y
(d) No, because the relationship is not a straight line
Transcribed Image Text:Q.4). Two variables x and y are believed to have a straight-line relationship. We would like to predict y from x. Minitab tells us this about x and y: Descriptive Statistics: x, y Variable NO. Mean StDev Minimum Maximum Median X 7 7.00 4.32 1.00 13.00 7.00 y 7 13.43 4.43 8.00 21.00 13.00 Pearson correlation of x and y = 0.941 Use this information for this question and the two following. What is the intercept of the regression line for predicting y from x? (а) -5.3 (b) 6.4 (с) 0.9 (d) 6.7 (е) 1.0 Q.5). Using the information given in Question 4, what is the predicted value of y when X = 10? The slope of the regression line is 1.0. (а) 12.2 (b) 13.4 (c) 16.7 (d) 7.7 Q.6). In Question 4, some information is given about two variables x and y. From the information given, does it make sense to find the regression line? (a) No, because x and y have outliers (b) Yes (c) No, because the correlation is not a good measure of the relationship between x and y (d) No, because the relationship is not a straight line
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