Question

Suppose that you estimate the following regression: SALES = 5.467-1.034(PRICE) A) How do you interpret the...

Suppose that you estimate the following regression:

SALES = 5.467-1.034(PRICE)

A) How do you interpret the coefficient on price, assuming price is denominated in dollars and sales are denominated in 1000s of units?

Homework Answers

Answer #1

A)

SALES = 5.467-1.034(PRICE)

Here

5.467 is the intercept and

-1.034 is the slope

Here slope is negative. Thus, the direction of the slope is negative.

It shows that there is a negative linear relationship between price and sales.

that is, as the price increases the Sales decrease

The magnitude of slope is 1.034

The value 1.034 implies as the price increases by $1, the Sales will decrease by 1.034 thousands of units

e.g.

if price is $1, then

SALES = 5.467-1.034(1) = 4.433 thousand units = 4433 units

If price increases by $1 to $2, sales will decrease by 1.034 x 1000 = 1034 units

SALES = 5.467-1.034(2) = 3.399 thousand units = 3399 units

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
You estimate the following formula: log(house_price) = 0.5 - 10log(pollution) + 0.67rooms How do you interpret...
You estimate the following formula: log(house_price) = 0.5 - 10log(pollution) + 0.67rooms How do you interpret each coefficient?
Next, suppose you add the unemployment rate, as a variable, to the regression model above and...
Next, suppose you add the unemployment rate, as a variable, to the regression model above and obtain the following estimates: SALES = 5.987-0.876(PRICE)-0.045(UNEMPLOYMENT RATE) B) What does this imply about the omission of the unemployment rate from the model above?  In other words, given the coefficient on PRICE went from -1.034 to -0.876, what was the nature of the omitted variable bias?
Q6. Coefficient of Determination, ?2 Find and interpret the coefficient of determination for the regression of...
Q6. Coefficient of Determination, ?2 Find and interpret the coefficient of determination for the regression of DVD system sales on price, using the following data. Sales      420    380    350    400     440     380    450     420 Price        98     194    244    207      89     261    149     198 thank you for yor help.
How do you interpret the coefficient of the price elasticity of demand? Explain when Edis 1.5,...
How do you interpret the coefficient of the price elasticity of demand? Explain when Edis 1.5, 0.7, and 1.0.
In a multiple regression where we have variables x1 and x2, how do we interpret the...
In a multiple regression where we have variables x1 and x2, how do we interpret the estimated coefficient on x1 (what we call b1)?
How do you find and interpret the least-squares multiple regression equation, with partial slopes?
How do you find and interpret the least-squares multiple regression equation, with partial slopes?
The following regression model has been proposed to predict sales at a computer store: y_hat =...
The following regression model has been proposed to predict sales at a computer store: y_hat = 50 – 3x1 + 20x2 + 10x3 where x1 = competitor's previous day's sales (in $1000s) x2 = population within 1 mile (in 1000s) x3 =  ​1 if any radio advertising was used and 0 otherwise. y_hat= sales (in $1000s) Predict the change in sales (in dollars) when radio advertising was used, all else constant. This, is from question one if needed; Predict sales (in...
. Estimate the regression equation by using the following data. Also forecast the Sales for 2100...
. Estimate the regression equation by using the following data. Also forecast the Sales for 2100 employees. Employees (No.) Sales (millions) 1995 145 2125 136 2136 131 2165 165 2239 139 2143 157 2235 164 2500 ? (a) Develop a scatter diagram. (b) Determine the correlation coefficient. (c) Determine the coefficient of determination R2. (d) Estimate the regression coefficients α and β of the equation Y= α + β X + e? (e) Forecast the annual gross sales for 2100...
Suppose you run a regression containing observations for each of the 74 kinds of cars releasted...
Suppose you run a regression containing observations for each of the 74 kinds of cars releasted in 1978 in the United States, and you regress price (in dollars) on weight (in pounds). You get the following results: βˆ 0 is -6.71, with SE 1174.4. βˆ 1 (slope coefficient on weight) is 2.04 with SE .377. • (4 points) Say, in words, what the slope coefficient means in this case, without taking a stand on causality. • (5 points) Suppose I...
What information do regression coefficients give? Interpret the regression coefficient for number of minutes of exercise...
What information do regression coefficients give? Interpret the regression coefficient for number of minutes of exercise (ExerciseMin) in the following equation for BMI: BMI = 26 - 0.03ExerciseMin What BMI would be predicted for someone who exercises 60 minutes a week? What BMI would be predicted for someone who exercises 0 minutes a week?
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT