7.During the data preparation phase, you notice a high correlation between average spend on video games, age of players, and number of science fiction shows watched.Which technique could you use to address the three correlated variables?Use scaling to make the three variables equivalent in sizeCombine the three variables into one new variableSquare the three variables to remove the correlationDrop the three variables to improve the model
Question
7.During the data preparation phase, you notice a high correlation between average spend on video games, age of players, and number of science fiction shows watched.Which technique could you use to address the three correlated variables?Use scaling to make the three variables equivalent in sizeCombine the three variables into one new variableSquare the three variables to remove the correlationDrop the three variables to improve the model
Solution
The technique you could use to address the three correlated variables is to combine the three variables into one new variable. This is known as feature engineering, and it can help to reduce the dimensionality of the data and potentially reveal more useful patterns. This is particularly useful when dealing with correlated variables, as it can help to avoid multicollinearity, where one variable can be linearly predicted from the others, which can cause problems in certain types of analysis.
Similar Questions
A dataset includes two variables for a city in the past 40 years: the number of high school graduates and the consumption of pizzas each year. You find that the two variables are positively correlated.Which of the following statement best describes such a correlation?i)High school graduates love eating pizzas.ii)If we increase the number of high school graduates, we would expect an increase in the pizza consumption.iii)As there might be an increase in the general population of the city, the number of high school graduates appears to be positively correlated with the pizza consumption. iv)Pizza stores should target high schools to increase their revenue. Question 8Answera.iiib.iic.i, ii and ivd.i and iie.None of the listed statements
Third variables are also known asMultiple choice question.confounds.scatter plots.placebos.correlations.
Which of the following is NOT a remedy for multicollinearity?Removing one of the correlated variables.Combining correlated variables.Increasing the sample size.Applying a logarithmic transformation
An experiment is conducted to study the effect of watching violent movies on individual behavior. One group of participants is asked to watch a violent movie and then play a video game. The second group of participants is asked to play the video game without watching the movie. The researchers then observe how the individuals in the two groups behave with each other while playing the video game and record the number of times the participants show aggressive behavior. In this scenario, the results will most likely be described by Blank______.Multiple choice question.correlating the number of matching variablescomparing group meanscorrelating scores of individuals on two variablescomparing group percentages
State the three variables and discuss the manipulation of the variables.Independent variableDependent variableControlled variable
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.