SIMULATION
A client has gathered weather data on which regions have high temperatures. The client would like a
visualization to gain a better understanding of the data.
INSTRUCTIONS
Part 1
Review the charts provided and use the drop - down menu to select the most appropriate way to
standardize the data.
Part 2

SIMULATION
A data scientist needs to determine whether product sales are impacted by other contributing
factors. The client has provided the data scientist with sales and other variables in the data set.
The data scientist decides to test potential models that include other information.
INSTRUCTIONS
Part 1
Use the information provided in the table to select the appropriate regression model.
Part 2
Review the summary output and variable table to determine which variable is statistically significant.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All
button.

A data scientist is building an inferential model with a single predictor variable. A scatter plot of the independent variable against the real - number dependent variable shows a strong relationship between them. The predictor variable is normally distributed with very few outliers. Which of the following algorithms is the best fit for this model, given the data scientist wants the model to be easily interpreted?

A data scientist wants to evaluate the performance of various nonlinear models. Which of the following is best suited for this task?

Which of the following is the layer that is responsible for the depth in deep learning?