Statistics for the Behavioral Sciences
3rd Edition
ISBN: 9781506386256
Author: Gregory J. Privitera
Publisher: SAGE Publications, Inc
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Chapter 16.8, Problem 5.3LC
To determine
Identify whether smaller or larger values of the standard error of estimate would give more accurate predictions of Y using known values of X.
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find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. In each case, there is sujficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions.
Altitude and Temperature Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded by the author during Delta Flight 1053 from New Orleans to Atlanta. For the prediction interval, use a 95% confidence level with the altitude of 6327 ft (or 6.327 thousand feet).
zion 11 of 15 >
Suppose a researcher collects data on the gas mileage, measured in miles per gallon, for both city and highway driving for
35 cars. The data is plotted with city gas mileage on the horizontal axis and highway gas mileage on the vertical axis. The
1965 Triumph Herald is an outlier in the x-direction.
What must be true about this car?
O This car is an influential observation.
M The highway gas mileage for this car is much higher or much lower than the rest of the cars in the data set.
O The absolute value of the residual of this car is large.
O The city gas mileage for this car is much higher or lower than
rest of the cars in the data set.
O The highway gas mileage for this car is much higher or lower than other cars in the data set that have similar
city gas mileage.
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US 9 O 4:23
At the end of the semester the lecturer runs a regression using the student's final grade as the dependent variable and a male dummy (equals one if the student is male and equals zero otherwise) as the sole explanatory variable.
If the estimated intercept is 64 and the estimated coefficient on the male dummy is 0 then what is the estimated mean mark for males in this course?
Chapter 16 Solutions
Statistics for the Behavioral Sciences
Ch. 16.2 - Prob. 1.1LCCh. 16.2 - Prob. 1.2LCCh. 16.2 - Prob. 1.3LCCh. 16.4 - Prob. 2.1LCCh. 16.4 - Prob. 2.2LCCh. 16.4 - Prob. 2.3LCCh. 16.5 - Prob. 3.1LCCh. 16.5 - Prob. 3.2LCCh. 16.6 - Prob. 4.1LCCh. 16.6 - Prob. 4.2LC
Ch. 16.6 - Prob. 4.3LCCh. 16.8 - Prob. 5.1LCCh. 16.8 - Prob. 5.2LCCh. 16.8 - Prob. 5.3LCCh. 16.9 - Prob. 6.1LCCh. 16.9 - Prob. 6.2LCCh. 16.9 - Prob. 6.3LCCh. 16.13 - Prob. 7.1LCCh. 16.13 - Prob. 7.2LCCh. 16.13 - Prob. 7.3LCCh. 16 - Prob. 1FPCh. 16 - Prob. 2FPCh. 16 - Prob. 3FPCh. 16 - Prob. 4FPCh. 16 - Prob. 5FPCh. 16 - Prob. 6FPCh. 16 - Prob. 7FPCh. 16 - Prob. 8FPCh. 16 - Prob. 9FPCh. 16 - Prob. 10FPCh. 16 - Prob. 11FPCh. 16 - Prob. 12FPCh. 16 - Prob. 13CAPCh. 16 - Prob. 14CAPCh. 16 - Prob. 15CAPCh. 16 - Prob. 16CAPCh. 16 - Prob. 17CAPCh. 16 - Prob. 18CAPCh. 16 - Prob. 19CAPCh. 16 - Prob. 20CAPCh. 16 - Prob. 21CAPCh. 16 - Prob. 22CAPCh. 16 - Prob. 23CAPCh. 16 - Prob. 24CAPCh. 16 - Prob. 25CAPCh. 16 - Prob. 26CAPCh. 16 - Prob. 27CAPCh. 16 - Prob. 28CAPCh. 16 - Prob. 29CAPCh. 16 - Prob. 30PRCh. 16 - Prob. 31PRCh. 16 - Prob. 32PRCh. 16 - Prob. 33PRCh. 16 - Prob. 34PR
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- Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.arrow_forwardStudies have shown that people who suffer sudden cardiac arrest have a better chance of survival if a defibrillator shock is administered very soon after cardiac arrest. How is survival rate related to the time between when cardiac arrest occurs and when the defibrillator shock is delivered? = survival rate (percent) and x = mean call-to-shock time (minutes) for a cardiac rehabilitation center (in which cardiac arrests occurred while victims were hospitalized The accompanying data give y and so the call-to-shock time tended to be short) and for four communities of different sizes. Mean call-to-shock time, x 2 6. 7 9. 12 Survival rate, y 91 46 32 4arrow_forwardThe three pieces of information that the standard error for slope is dependent on in an inference of regression are spread about the xx-values, number of samples, and degrees of freedom. true or falsearrow_forward
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