Question #1 There is data for a disaster at sea; the loss of the steamship HMS Titanic after it hit...

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Question #1 There is data for a disaster at sea; the loss of the steamship HMS Titanic after it hit an iceberg in the Atlantic on April 15, 1912. There is a data set available from Carnegie Mellon University
. _ for 1309 passengers on the Titanic. The variable survive is coded one for survived and zero for perished. There is also data for the fare paid in pounds, £. There is also data for the gender of each passenger, called female and coded one for females and zero for males.
The following regression was estimated: Dependent Variable: SURVIVE Method: Least Squares
Sample: XXXXXXXXXXIncluded observations: 1308 Excluded observations: 1
Variable Coefficien Std. Error t-Statistic Prob. FARE XXXXXXXXXX XXXXXXXXXXFEMALE XXXXXXXXXX XXXXXXXXXXC XXXXXXXXXX XXXXXXXXXXR-squared XXXXXXXXXXMean dependent var XXXXXXXXXXAdjusted R-squared XXXXXXXXXXS.D. dependent var XXXXXXXXXXS.E. of regression XXXXXXXXXXAkaike info criterion XXXXXXXXXXSum squared resid XXXXXXXXXXSchwarz criterion XXXXXXXXXXLog likelihood XXXXXXXXXXF-statistic XXXXXXXXXXDurbin-Watson stat XXXXXXXXXXProb(F-statistic XXXXXXXXXX
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David · Accepted Answer

Answer 1: 
a. Since the probability of F-statistics is zero, we reject the null hypothesis. Therefore, the regression is 
statistically significant. 
b. The regression equation is 
Survive = 0.154012 + 0.001422 Fare + 0.507749 Female 
When, Fare = 211.3376, Female = 1, the dependent variable would be 
Survive = 0.154012 + 0.001422 x 211.3376 + 0.507749 x 1 
             = 0.9623 
c. The intercept is 0.154012 which is interpreted as when there is no change in the independent variable 
(fare and female), the dependent variable (survive) would be 0.154012.  
d. The coefficient of fare is 0.001422 which is interpreted as for every additional increase in fare, the 
survive increases by 0.001422. 
The coefficient of female is 0.507749 which is interpreted as for every additional increase in female, the 
survive increases by 0.507749. 
e. There are two regression lines fitted against fare because dependent variable is coded as dummy 
variable i.e. one or survived and zero for perished. Therefore, the two lines represent survived and 
perished.
Answer 1: 
The coefficient of Educ is 0.45 which is interpreted as for every additional increase in Educ, the wage 
increases by 0.45. 
The coefficient of Female is -2.

Question #1 There is data for a disaster at sea; the loss of the steamship HMS Titanic after it hit an iceberg in the Atlantic on April 15, 1912. There is a data set available from Carnegie Mellon...

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