Answer:
The Correlation analysis “R” is measured to compute the strength of relationship among variables. Moreover, the value of correlation is calculated among -1 to +1. Which implies that if the computed value is near to -1 then there will be strong but negative relation and if near to +1 then it is strong but relation among the variable. However zero is consider as neutral point.
A. The computed value of correlation is - 0.772. The value identifies that that there is a strong but negative association among the variables (GDP and infant mortality rate).
B. The correlation analysis cannot computed among the variables continent and GDP because "continent" is a categorical variable not quantitative.
C. The computed value of correlation is higher than 1. Thus, the statement implies that there is a very strong relationship among life expectancy and GDP which is incorrect. As the association cannot be higher than 1.
D. There is a strong relationship among literacy rate and GDP as the relationship is nearer to 1. Furthermore, the association among literacy rate and GDP doesn’t suggest the causation.
E. The computed correlation among the variables is 0.90. Which indicated that the variables goes up. That is, when the GDP goes down the import is also decrease and when GDP increases the import increases Thus, the there is a positive correlation.
Answer: B. It may help a firm achieve experience curve and location economies
Explanation: Exporting is defined as the act of conveying or sending commodities abroad or to another country, in the course of commerce. Exporting provides a distinct advantage to firms in that it helps them achieve experience curve (which posits that the more experience a business has in the production of product, the lower its costs in producing the product) and location economies (the production of a good or product under the most optimum settings that confers an added advantage in cost of productions over their competitors).
Answer:
His American Opportunity tax credit is $2,500.
Explanation:
A taxpayer who has a modified adjusted gross income of $80,000 or less can claim the credit for the qualified expenses of an eligible student.
Taxpayers will receive a tax credit based on 100% of the first $2,000, plus 25% of the next $2,000 that is paid during the taxable year for tuition, fees and course materials and also, 40% of the credit (up to $1,000) is refundable.
Therefore, His American Opportunity tax credit is $2,500.
Answer:
The income effect and substitution effect work in opposite directions and income effect is dominant.
Explanation:
In case of a normal good, both the income effect as well as substitution effect work in the same direction. A fall in the price of a product will increase the purchasing power of the consumer so its quantity demanded will increase.
The consumers will also prefer the cheaper good so the substitution effect will cause the quantity demanded to increase.
In case of an inferior good, however, income elasticity is negative. The income effect and substitution effect work in opposite directions.
A price decrease in the case of an inferior good will increase the real income and purchasing power of the consumer. This will cause the quantity demanded of the inferior good to decline as the consumer will prefer a substitute normal good.
Answer:
Explanation:
1)
: All group means equal or 
At least one of the treatment group means are different
ANOVA TABLE
<u>Source of Variation SS df MS F P-value F crit
</u>
Between Groups 213.5 3 71.16667 0.65 0.5975 3.490295
Within Groups 1312.5 12 109.375
MSB = SSB / DFB = 71.16667
MSE = SSE / DFE = 109.375
F = MSB / MSE = 0.650667
3) P-value: 0.597576
The test statistic is not significant and failed to reject the null hypothesis.
4) The test statistic is not significant. So, there is no evidence to conclude that there is a difference between groups.
