Question

In: Statistics and Probability

Why are decision trees a good model to use for regression predictions/problems for variables like price?...

Why are decision trees a good model to use for regression predictions/problems for variables like price? What are the pros and cons of using decision trees?

Solutions

Expert Solution


I HOPE THIS ANSWER IS HELPFULL TO YOU......IF YOU HAVE ANY QUERY ASK ME IN THE COMMENT BOX,I AM HERE TO HELPS YOU.

**PLEASE GIVE ME "LIKE".....ITS VERY IMPORTANT FOR,ME......PLEASE SUPPORT ME .......THANK YOU


Related Solutions

Why are random forests a good model to use for classification predictions/problems? What are the pros...
Why are random forests a good model to use for classification predictions/problems? What are the pros and cons of using random forests?
1. Why is a multivariate regression model usually better to use than a univariate regression model?...
1. Why is a multivariate regression model usually better to use than a univariate regression model? Define both and discuss at least two reasons.
b) Use a multiple regression model with dummy variables as follows to develop an equation to...
b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank (Example: -300). If the constant...
Explain why you choose multiple regression with dummy variables but not linear trend model and why...
Explain why you choose multiple regression with dummy variables but not linear trend model and why do you believe this technique is appropriate to forecast your data?
Why is expanding not always a good business decision? Give examples of problems on achieved economics...
Why is expanding not always a good business decision? Give examples of problems on achieved economics of scale? How can they be overcome? Are they always apparent? Reply in 600 words
What is the regression model for the data? Is this a good model? Year 2006 =...
What is the regression model for the data? Is this a good model? Year 2006 = 8,860 Students 2007 = 9,056 2008 = 9,050 2009 = 9,429 2010 = 9,407 2011 = 9,352 2012 = 9,608 2013 = 10,107 2014 = 10,382 2015 = 10,340 2016 = 10,805 2017 = 11,034 2018 = 11,639
1. You are given with the regression result that shows the regression model with k variables....
1. You are given with the regression result that shows the regression model with k variables. Answer the following parts: a) How do you tell that a certain variable is influential? b) Suppose the theoretical issue said there exist a linear constraint, how do you figure out the constraint holds? c) Suppose you have two sets of explanatory variables; how did you consider which set is the better one? d) What’s the meaning of R-squared? Should we always look for...
Using Minitab, use the regression model with all nine independent variables to test the hy- potheses...
Using Minitab, use the regression model with all nine independent variables to test the hy- potheses H0 : βAGE = −2500 vs. Ha : βAGE < −2500. Use α = 0.05 and include all steps of a hypothesis test. Row   PRICE   BATHS   BEDA   BEDB   BEDC   CARA   CARB   AGE   LOT   DOM   1   25750   1.0   1   0   0   1   0   23   9680   164   2   37950   1.0   0   1   0   0   1   7   1889   67   3   46450   2.5   0   1   0   0   0  ...
Changes in variables other than the price of a good, such as income or the price...
Changes in variables other than the price of a good, such as income or the price of another good lead to a change in demand. This corresponds to a shift of the entire demand curve. Critically analyze the law of demand and identify factors that cause demand to shift to the above situation (through diagram)
Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data.
Quarter Year 1 Year 2 Year 3 1 3 6 8 2 2 4 8 3 4 7 9 4 6 9 11 (b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. If required, round your answers to three decimal places. For...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT