Suppose that a worker earns x$ every other month. In September he earns 5x. We have that his total earnings are 11*x +5x (Eleven months income plus September). Hence 16x is the amount of total earnings. The ratio of earnings in September to the total earnings is
=0.3125. Hence, 31,25% of his earnings where accrued in September.
When marketing managers looks for a relationship between past sales and one or more independent variables, such as population, per capita income, or gross domestic product, they are engaging in regression analysis.
<u>Explanation:</u>
An effective mathematical formalism which enables one to analyze the interaction among two or more interest factors is understood as a regression analysis. While there are several forms of regression analysis, they all analyze the effect of one or more independent variables on a dependent variable at their source.
The linear association among two variables is defined using correlation. Regression is then used to match the best line and predict one variable based on another variable. Regression, then, represents the effect on the dependent variable of the unit shift in the independent variable.
Answer:
32.59 days
Explanation:
DSO = Average receivables / Sales Revenue X 365
= $56,736 / (2,473,701 - 1,838,207) x 365
= $56,736 / (635,494) x 365
= 32.59 days
Answer: floral arrangements on February 14th, Supply shifts left. Supply shifts right, No shift in the supply curve,.
Explanation:
Answer:
1. List your expenses
2. Separate your wants and needs
3. Make sure your expectations are realistic
4. Consider buying budgeting software
5. Get your family on board
Calculate expenses. Your first order of business is finding out exactly how much you're spending each month.
Determine your income.
Set savings and debt payoff goals.
Record spending and track progress.
Be realistic.
Explanation:
i did the same thing on edge