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MATH 3339 FINAL QUESTIONS AND ANSWERS

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MATH 3339 FINAL QUESTIONS AND ANSWERS MATH 3339 FINAL QUESTIONS AND ANSWERS MATH 3339 FINAL QUESTIONS AND ANSWERS MATH 3339 FINAL QUESTIONS AND ANSWERS r close to 1 - ANSWER-strong linear relationship r close to 0 - ANSWER-no linear relationship at 0. near 0 is weak linear relationship In the regression equation y = b0 + b1x, identify what b0 and b1 represent. Which of these will best explain the relationship between x and y - ANSWER-bo represents the y intercept. and b1 represents the slope of the line. the slope will best explain the relationship because for every 1 x goes up then y goes up b1.

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MATH 3339
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MATH 3339

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MATH 3339 FINAL QUESTIONS AND
ANSWERS
r close to 1 - ANSWER-strong linear relationship

r close to 0 - ANSWER-no linear relationship at 0. near 0 is weak linear relationship

In the regression equation y = b0 + b1x, identify what b0 and b1 represent. Which of
these will best explain the relationship between x and y - ANSWER-bo represents
the y intercept. and b1 represents the slope of the line. the slope will best explain the
relationship because for every 1 x goes up then y goes up b1.

conditional probability - ANSWER-P(a&b)/P(b)

to find a zscore corresponding to a percentile - ANSWER-qnorm(.percentile)

standard error - ANSWER-sqrt(p(1-p)/n)

pvalue for t test stastic - ANSWER-qt(t value,df)

verify that its a binomial experiment - ANSWER--success or fail only
-fixed # of trials
-outcomes are independent

to test hypothesis for regression lines - ANSWER-ho: B1=0
Ha; B1=/0
t=b/SEb
or find p value from summary(lm(y~x)) and see if its bigger or smaller than the
confidence interval

coefficient for problem solving 4.0162 - ANSWER-for every 1 point in problem
solving an increase in 4.0162 happens on the total score

MSE - ANSWER-SSE/(I(J-1))

to find z* for anova tables - ANSWER-qf(.confidence interval,I-1,I(J-1))

to find p value for anova table - ANSWER-1-pf(f value)

Interpret the value of R-Sq in words. - ANSWER-R2 indicates that % of the variation
in total scores can be explained by the LSRL

r studio commands for binomial experiments
p(x=k)
p(x<=k)
p(x>k) - ANSWER-dbimon(k,n,p)
pbinom(k,n,p)

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MATH 3339
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