Look at the histograms of real estate data and decide whether you think the standard deviation of home prices in City A was larger or smaller than the standard deviation of home prices in City B. Explain.

The description according to the framework in question is illustrated in the portion below.

Step-by-step explanation:

These same 2 histograms are quite dissimilar or separate, for City A, each information collected has always been largely focused at 400, although for City B, these same results are interpreted at 400.The price increases including its households throughout City B have quite a higher SD than those of the exchange rates throughout City A, also because documentation from City A generate a lot of price levels close to the middle of the bar chart, as well as the wages throughout City B, require a high amount of rates farther from the midpoint of the

Cthe residual plot for model 1 has a non random pattern and is a good fit for the data

Idon’t actually know but have you asked google yet