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- Profitability remains a challenge for banks and thrifts with less than $2 billion of assets. The business problem facing a bank analyst relates to the factors that affect return on assets (ROA), an indicator of how profitable a company is relative to its total assets. Data collected from a sample of 20 community banks include the ROA (%), the efficiency ratio (%), as a measure of bank productivity (the lower the efficiency ratio, the better), and total risk-based capital (%), as a measure of capital adequacy. Complete parts (a) through (g) below. Click the icon to view the data table. a. State the multiple regression equation. Let X₁, represent the efficiency ratio (%) and let X₂; represent the total risk-based capital (%). Ý TO DX DX = + + (Round the constant to two decimal places as needed. Round the coefficients to four decimal places as needed.) Distribution Costs ROA (%) 1.13 1.22 0.82 1.15 0.81 1.23 0.67 1.35 0.95 0.71 0.69 1.10 0.87 1.02 0.86 1.74 1.02 1.76 0.90 0.68 Efficiency…Chapter 3, Section 1, Exercise 001 State whether the quantity described is a parameter or a statistic and give the correct notation.Average household income for all houses in the US, using data from the US Census.Heckscher-Ohlin model of trade • How is the relative world price determined after trade?• How do you demonstrate gains from trade?• What are the key theorems/principles that result from the model?
- Profitability remains a challenge for banks and thrifts with less than $2 billion of assets. The business problem facing a bank analyst relates to the factors that affect return on assets (ROA), an indicator of how profitable a company is relative to its total assets. Data collected from a sample of 20 community banks include the ROA (%), the efficiency ratio (%), as a measure of bank productivity (the lower the efficiency ratio, the better), and total risk-based capital (%), as a measure of capital adequacy. Complete parts (a) through (g) below. Click the icon to view the data table. a. State the multiple regression equation. Let X₁¡ represent the efficiency ratio (%) and let X₂¡ represent the total risk-based capital (%). Ŷ₁=+X₁₁+Xzi (Round the constant to two decimal places as needed. Round the coefficients to four decimal places as needed.) Distribution Costs ROA (%) 1.04 0.77 0.14 1.44 0.90 1.16 1.07 1.58 1.45 1.15 1.17 3.40 0.86 0.66 0.81 1.14 0.83 0.86 1.14 1.04 TOlal Efficiency…Define multiperiod forecasting. Which Method Should we Use?Using Lewis’ Two-Sector Model, explain why Kuznets’ hypothesis on income-per- capita and Gini can have inverted U-shape.
- year- 2000,2005,2010,2014,2019 tuition-$1242,$1809,$2680,$3356,$5132 what is the equation for the least squares regression line? what will tuitions be for the year 2025? when will tuitions be $6500?Suppose that you are a researcher and wish to construct a linear mathematical (statistical) model that relates the number of years and the corresponding exports (million U.S.$) of a country. The constructed model may use to forecasts the future values. You have obtained the relevant data for the during of 1990 to 1995 and you have listed the data in Table 5. Table 5. Shows the list of the amount that have earned on exports Year No. 1 2 3 4 5 6 Exports 4954 6131 6904 6813 6803 8137 (a) Construct a suitable graph that explains the relationship between the number of years and the corresponding exports. (b) Construct a mathematical (Statistical) model by using least square method between number of years and the corresponding sales. (c) Interpret the slope of the estimated linear model (d) Forecast the value of exports by using the estimated linear model for the year of 2000What does the formulation of a research problem represents?
- Show work, round to nearest 4th decimal place and no excel.Coconut groove claims it's still the best in Ghana despite stiff competition from fiesta royal, La palm and others. It has embarked on a price restructuring and adverts to boost demand for the coming year. It has a number of meals served which is regressed against average price per meal( P in GHS), Competitors price( P in GHS ), adverts in each outlet immediate service area (A in GHS), the average income per household in each outlet service area (Y in GHS). Use this information to answer the questions below. Q P PC A Y Q 1.00 P -0.73 1.00 PC 0.41 -0.11 1.00 A 0.31 -0.08 0.43 1.00 Y 0.38 0.03 -0.19 -0.20 1.00 1. Which three pairs of variables are perfectly correlated. 2. Which the three pairs of variables are maybe mostly strongly correlated with the response variable. 3. Which three pairs of variables I may be mostly multicollinear. 4. Which three pairs of variables are least multicollinear. 5. Which three pairs of variables are…The index of leading economic indicators, compiled and published by the U.S. National Bureau of Economic Research, is composed of 12 time series, such as the average work hours of production in manufacturing, manufacturers’ new orders, and money supply. This index and similar indexes are designed to move up or down before the economy begins to move the same way. Thus, an economist has statistical evidence to forecast future trends.You want to construct a leading indicator for Erie County in upstate New York. The index is to be based on 2000 data. Because of the time and work involved, you decide to use only four time series. As an experiment, you select these four series: unemployment in the county, a composite index of county stock prices, the County Price Index, and retail sales. Here are the figures for 2000 and 2018. The weights you assign are unemployment rate 20%, stock prices 40%, County Price Index 25%, and retail sales 15%. (Round your answers to 1 decimal place.) a. Using…
