When plotting the model that you are estimating, the value that x2 takes would affect:

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QUESTION 1
An analyst calculates the mean Sharpe ratio of 25 U.S. equity mutual funds for which the population variance is unknown. The sample mean is 0.60 and the sample standard deviation of the ratio is 0.40. The analyst can state with a 90% confidence that the mean Sharpe ratio will not be greater than:
0.70528

0.70544

0.73664

0.73688

1.5 points
QUESTION 2
An analyst would like to identify the 95% confidence interval of returns around the mean for a normally distributed sample of 29 U.S. private equity firms for which population variance is known. What is the reliability factor used to construct the confidence interval?
1.650

1.701

1.960

2.048

1 points
QUESTION 3
After analyzing the average stock returns of the 500 companies in the S&P 500, you identify that the average returns are 7.05% and that the variance of returns is 0.0025. The population variance of the S&P500 is known and returns are normally distributed. With what confidence level can you ascertain that returns will not be less than 6%.
90% confidence

95% confidence

99% confidence

We do not have enough information

1.5 points
QUESTION 4
You would like to model the effect of stocks trading volumes (X1) on stock’s return (Yi) but suspect that this effect would differ depending on whether there was a COVID-19 lockdown or not (X2). The most appropriate model to estimate is:
Yi = β0 + β1X1

Yi = β0 + β2X2

Yi = β0 + β1X1 + β2X2

Yi = β0 + β1X1 + β2X2 + β3X1X2

1.5 points
QUESTION 5
You are estimating the following model Yi = β0 + β1X1 + β2X1X2 where X2 is a dummy variable that could take the value 0 or 1. When plotting the model that you are estimating, the value that X2 takes would affect:
The y-intercept of the line plotted to predict the value of Yi

The slope of the line plotted to predict the value of Yi

The y-intercept and slope of the line plotted to predict the value of Yi

The value of X2 will have no effect on the line plotted to predict the value of Yi

1.5 points
QUESTION 6
Using the Crowdfunding Dataset on Blackboard answer the question:
In our dataset, what percentage of the entrepreneurs launched a campaign in the category “Technology”?
0%

6.93%

19.43%

96.97%

1 points
QUESTION 7
Using the Crowdfunding Dataset on Blackboard answer the question:
In our dataset, what percentage of female entrepreneurs were successful?
33.39%

35.84%

41.89%

58.11%

1 points
QUESTION 8
Using the Crowdfunding Dataset on Blackboard answer the question
In our dataset, in which year did entrepreneurs have the highest success rate?
2009

2010

2011

2012

1 points
QUESTION 9
Using the Crowdfunding Dataset on Blackboard answer the question:
In our dataset, is there a statistically significant difference in success rates between the year 2009 and the year 2016?
There is no difference in means

There is a difference in means that is not statistically significant

There is a difference in means that is statistically significant at the 10% level

There is a difference in means that is statistically significant at the 1% level

1.5 points
QUESTION 10
Using the Crowdfunding Dataset on Blackboard answer the question
In our dataset, is there a statistically significant difference in success rates between sustainable projects launched by male entrepreneurs vs sustainable projects launched by female entrepreneurs?
There is no difference in means

There is a difference in means that is not statistically significant

There is a difference in means that is statistically significant at the 10% level

There is a difference in means that is statistically significant at the 1% level

1.5 points
QUESTION 11
Using our dataset, we run the following commands:

What is the y-intercept for projects launched by female entrepreneurs?
0.2117

0.4597

3.6659

4.1256

1.5 points
QUESTION 12
Using our dataset, we run the following commands:

According to our estimation model, on average, female entrepreneurs raise:
$45.97 more than male entrepreneurs

$45.97 less than male entrepreneurs

45.97% more than male entrepreneurs

45.97% less than male entrepreneurs

1.5 points
QUESTION 13
Using our dataset, we run the following commands:

According to our estimation model, on average, a 10% increase in the project goal is associated with:
$0.2117 increase in amount raised

$2.1174 increase in amount raised

0.2117% increase in amount raised

2.1174% increase in amount raised

1.5 points
QUESTION 14
Using our dataset, we run the following commands:

According to our estimation model, for a project with a projectgoal of $10,000 and launched by a female entrepreneur, what is the predicted amountraised?
$434

$2,117

$6,714

$43,373

1.5 points
QUESTION 15
Using our dataset, we run the following commands:

According to our estimation model, is the coefficient on female (0.4597) statistically significantly different from 0.4000?
It is not statistically significantly different at the 1%, 5%, and the 10% level

It is statistically significantly different at the 1% level

It is statistically significantly different at the 5% level

It is statistically significantly different at the 10% level

1.5 points
QUESTION 16
Using our dataset, we run the following commands:

According to our estimation model, is the coefficient on the constant term (3.6659) statistically significantly different from 3.6000?
It is not statistically significantly different at the 1%, 5%, and the 10% level

It is statistically significantly different at the 1% level

It is statistically significantly different at the 5% level

It is statistically significantly different at the 10% level

1.5 points
QUESTION 17
Using our dataset, we run the following commands:

According to our estimation model, the benefit of an additional prior successful experience (experiencesuccess) on the amount of funds raised (lnamountraised) is:
41.58% more for females relative to males

45.13% more for females relative to males

30.54% less for females relative to males

11.04% less for females relative to males

1.5 points
QUESTION 18
Using our dataset, we run the following commands:

According to our estimation model, on average, for a male entrepreneur, an additional successful experience is associated with:
41.58% increase in amount raised

45.13% increase in amount raised

30.54% increase in amount raised

11.04% increase in amount raised

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