1.In a survey of 48 citizens, 36 registered strong disapproval with their government's economic leadership. In the previous month, the proportion of participants registering strong disapproval was 65%. ??At the 95% confidence level and using a two-sided test, which of the following statements do these data support?
A ?There is not sufficient evidence to indicate that the proportion of participants registering strong disapproval has changed.
B ?The proportion of participants registering strong disapproval has increased.
C ?The proportion of participants registering strong disapproval has stayed the same.
D ?None of the above.
2. A telemarketing company wants to find out if people are more likely to answer the phone between 8pm and 9pm than between 7pm and 8pm. Out of 96 calls between 7pm and 8pm, 72 were answered. Out of 105 calls between 8pm and 9pm, 90 were answered. ??Using a one-sided hypothesis test with a 90% confidence level, which of the following statements do these data support?
A ?There is not sufficient evidence that the proportion of people who answer the phone between 8pm and 9pm is greater than the proportion who answer the phone between 7pm and 8pm.
B ?People are more likely to answer the phone between 8pm and 9pm.
C ?Telemarketers should not call at all during the evenings.
D ?People are more likely to answer the phone between 7pm and 8pm.
3.The regression analysis below relates US annual energy consumption in trillions of BTUs to the independent variable "US Gross Domestic Product (GDP) in trillions of dollars." ??Which of the following is the lowest level at which the independent variable is significant?
A 0.94
B ?0.10
C ?0.05
D ?0.01
4.The regression analysis below relates US annual energy consumption in trillions of BTUs to the independent variable "US Gross Domestic Product (GDP) in trillions of dollars." ??The coefficient on the independent variable tells us that:
A For every additional trillion dollars of GDP, average energy consumption increased by 3,786 trillion BTUs.
B ?For every additional dollar of GDP, average energy consumption increased by 3,786 trillion BTUs.
C ?For every additional trillion dollars of GDP, average energy consumption increased by 3,786 BTUs.
D ?For every additional trillion BTUs of energy consumption, average GDP increased by $3,786 trillion.
5. The regression analysis below relates US annual energy consumption in trillions of BTUs to the independent variable "US Gross Domestic Product (GDP) in trillions of dollars." ??Which of the following statements is true?
A The y-intercept of the regression line is 62,695 trillion BTUs.
B ?The x-intercept of the regression line is $62,695 trillion.
C ?In the event that a thermonuclear war completely halts all economic activity and the US GDP drops to zero, energy consumption will sink to 62,695 trillion BTUs.
D ?None of the above.
6.The regression analysis below relates US annual energy consumption in trillions of BTUs to the independent variable "US Gross Domestic Product (GDP) in trillions of dollars." ??In a given year, if GDP is $7.4 trillion, expected energy consumption is:
A Around 90,711 trillion BTUs
B ?Around 91,501 trillion BTUs
C ?Around 28,016 trillion BTUs
D ?Around 467,729 trillion BTUs.
7. The regression analysis below relates US annual energy consumption in trillions of BTUs to the independent variable "US Gross Domestic Product (GDP) in trillions of dollars." ??How much of the variation in energy consumption can be explained by variation in the gross domestic product?
A ?About 94%
B About 97%
C About 99.99%
D ?Almost none of the variation in energy consumption can be explained by variation in GDP.
8. The regression analysis below relates US annual energy consumption in trillions of BTUs to the independent variables "US Gross Domestic Product (GDP) in trillions of dollars" and "average gas mileage of all passenger cars in miles per gallon (mpg)." ??Which of the two independent variables is significant at the 0.01 level?
A GDP only.
B ?Average car gas mileage only.
C ?Both independent variables.
D ?Neither independent variable.
9.The regression analysis below relates US annual energy consumption in trillions of BTUs to the independent variables "US Gross Domestic Product (GDP) in trillions of dollars" and "average gas mileage of all passenger cars in miles per gallon (mpg)." ??The coefficient for the independent variable "average car gas mileage (mpg)," -70.50, describes:
A ?The relationship between energy consumption and average car gas mileage, controlling for GDP.
B ?The relationship between energy consumption and average car gas mileage, not controlling for GDP.
C? The relationship between average car gas mileage and GDP, controlling for energy consumption.
D ?The relationship between average car gas mileage and GDP, not controlling for energy consumption.
10. The data table below tabulates a pizza parlor's advertising expenditures and sales for 8 consecutive quarters. The marketing manager wants to know how much of an impact current advertising will have on sales two quarters from now. ??When running a regression with the dependent variable "sales" and the independent variable "advertising lagged by two quarters," how many data points can she use, given the available data?
A 6
B 7
C ?8
D ?9