EBook Problems GLM Corr - Revision history

Tdlee: Text replacement - "{{translate|pageName=http://wiki.stat.ucla.edu/socr/" to ""{{translate|pageName=http://wiki.socr.umich.edu/"

2020-03-03T17:07:22Z

Text replacement - "{{translate|pageName=http://wiki.stat.ucla.edu/socr/" to ""{{translate|pageName=http://wiki.socr.umich.edu/"

JayZzz at 07:33, 6 January 2009

2009-01-06T07:33:22Z

JayZzz at 21:41, 30 December 2008

2008-12-30T21:41:54Z

JayZzz at 21:34, 30 December 2008

2008-12-30T21:34:54Z

JayZzz at 20:18, 30 December 2008

2008-12-30T20:18:54Z

JayZzz at 02:16, 30 December 2008

2008-12-30T02:16:47Z

JayZzz at 20:38, 6 December 2008

2008-12-06T20:38:40Z

JayZzz at 05:31, 5 December 2008

2008-12-05T05:31:10Z

JayZzz at 05:20, 5 December 2008

2008-12-05T05:20:32Z

JayZzz at 05:14, 5 December 2008

2008-12-05T05:14:12Z

← Older revision		Revision as of 17:07, 3 March 2020
Line 506:		Line 506:
	* SOCR Home page: http://www.socr.ucla.edu		* SOCR Home page: http://www.socr.ucla.edu

−	{{translate\|pageName=http://wiki.~~stat~~.~~ucla~~.edu~~/socr~~/index.php/EBook_Problems_GLM_Corr}}	+	"{{translate\|pageName=http://wiki.socr.umich.edu/index.php/EBook_Problems_GLM_Corr}}

@@ Line 458: / Line 458: @@
 :''(d) 93.52%
 {{hidden|Answer|(d)}}
 <hr>

@@ Line 444: / Line 444: @@
 :''(d) The slope of the regression line will be negative
 {{hidden|Answer|(a) , (c)}}
 <hr>

@@ Line 95: / Line 95: @@
 :''(e) I would expect r to be zero.''
-{{hidden|Answer(e)}}
+{{hidden|Answer|(e)}}
 ===Problem 8===
@@ Line 430: / Line 430: @@
 :''(d) 36 % of the variance in the temperature can be explained by the amount of ice cream sold.
 {{hidden|Answer|(b) , (d)}}
 <hr>

@@ Line 416: / Line 416: @@
 :''(d) The son's height = 35 + 0.5(6) inches
 {{hidden|Answer|(b)}}
 <hr>

← Older revision		Revision as of 02:16, 30 December 2008
Line 400:		Line 400:

	:''(e) Plant height and leaf height were found to be negatively correlated because the correlation coefficient is -1.41		:''(e) Plant height and leaf height were found to be negatively correlated because the correlation coefficient is -1.41
		+	{{hidden\|Answer\|(b)}}
		+
		+	===Problem 28===
		+	Use the linear model to predict the height for a son whose father is 6 feet.
		+	Son's height = 35 + 0.5*Father's height.
		+
		+	*Choose one answer.
		+
		+	:''(a) The "Regression Effect" states that the son will be a bit taller than his father
		+
		+	:''(b) The son's height = 35 + 0.5(72) inches
		+
		+	:''(c) Cannot be determined without the data
		+
		+	:''(d) The son's height = 35 + 0.5(6) inches
	{{hidden\|Answer\|(b)}}		{{hidden\|Answer\|(b)}}

@@ Line 323: / Line 323: @@
 :''(d) The correlation of 0.6 is just as strong as the correlation of -0.6.
 {{hidden|Answer|(d)}}
 <hr>

← Older revision		Revision as of 05:31, 5 December 2008
Line 281:		Line 281:
	{{hidden\|Answer\|(c)}}		{{hidden\|Answer\|(c)}}

		+	===Problem 20===
		+	The statement below contains some mistakes or bad uses of the correlation coefficient. How many?
		+
		+	Statement:
		+	"We found a high correlation (r= -3) between delivery time and type of firm in charge of the delivery"
		+
		+	*Choose one answer.
		+
		+	:''(a) One mistake.
		+
		+	:''(b) Three mistakes.
		+
		+	:''(c) Two mistakes.
		+	{{hidden\|Answer\|(c)}}
		+
		+	===Problem 21===
		+	Two different researchers are working on studying the relationship between penmanship and creative writing anxiety. Researcher A tested 150 students using an anxiety scale that had a minimum of 0 and a maximum of 100, and a penmanship test that had a minimum of 10 and a maximum of 60. He found a correlation of 0.54 between creative writing anxiety and penmanship. Researcher B tested 120 students using an anxiety scale that had a minimum of 0 and a maximum of 50, and a penmanship test that had a minimum of 0 and a maximum of 10. She found a correlation of -0.27 between creative writing anxiety and penmanship. Choose the best answer.
		+
		+	*Choose one answer.
		+
		+	:''(a) Given that the coefficient of correlation shows the association between standardized scores, one can conclude that for researcher A a greater percentage of the students who have above average anxiety are likely to have above average penmanship.
		+
		+	:''(b) The coefficient of correlation for researcher A is twice as strong as the coefficient of correlation for researcher B.
		+
		+	:''(c) Given that coefficient of correlation shows the association between standardized scores, one can conclude that for researcher A a greater precentage of the students who have above average anxiety are likely to have below average penmanship.
		+
		+	:''(d) Based on the study by researcher A one can conclude that high creative writing anxiety is the reason that a lot of the students have bad penmanship.
		+	{{hidden\|Answer\|(a)}}
		+
		+	===Problem 22===
		+	A study in a recent sociology journal shows a correlation of 0.6 between politicians and corruption, as well as a correlation of -0.6 between politicians and intelligence. Which of the following interpretations is the most correct?
		+
		+	*Choose one answer.
		+
		+	:''(a) It is impossible to tell which correlation is stronger.
		+
		+	:''(b) The correlation of 0.6 indicates a stronger relationship than the correlation of -0.6.
		+
		+	:''(c) You cannot compare a positive and a negative correlation.
		+
		+	:''(d) The correlation of 0.6 is just as strong as the correlation of -0.6.
		+	{{hidden\|Answer\|(d)}}

	<hr>		<hr>

← Older revision		Revision as of 05:20, 5 December 2008
Line 281:		Line 281:
	{{hidden\|Answer\|(c)}}		{{hidden\|Answer\|(c)}}

−	~~===Problem 20===~~
−	The data given below describes the relation between grades on the first quiz (denoted by x) and grades on the second quiz (denoted by y) taken by a history class. The average of the first quiz is 4 and the standard deviation is 2.236. The average of the second quiz is 7 and the standard deviation is 4.472.
−
−	~~{\| border="1"~~
−	\|-
−	~~\| x \|\| y \|\| Z score for x \|\| z score for y \|\| /t~~
−	\|-
−	\|}

	<hr>		<hr>

@@ Line 238: / Line 238: @@
 :''(d) Besides the coefficient of correlation, one needs the sample size to decide whether high overall GPA leads to high GPA in major.
 {{hidden|Answer|(b)}}
 <hr>