What type of correlation would you expect from a scatterplot of time spent at th

Question

What type of correlation would you expect from a scatterplot of time spent at the hair salon versus length of hair?

strong negative

strong positive

weak positive

no correlation

OR

Which of the following information would be best shown on a stem-and-leaf plot?

Data that shows the number of pieces of mail received at each house on a street

Data that compares the number of houses built after 2001 to the total number of houses in a neighborhood.

Data that shows the number of bathrooms and the number of bedrooms in each house on a street

Data that compares the number of houses in a neighborhood that have red, black, or white doors.

*It is not Data that shows the number of bathrooms and the number of bedrooms in each house on a street^-^

Explanation / Answer

strong positive correlation for the top one. the length of hair would directly influence the length of time spent at the hairdresser, and if the hair is longer, it would most likely take longer, therefore causing a strong positive correlation. the data which would best be plotted on a scatterplot would be the data showing the number of pieces of mail received at each house on a street. an explanation for this can be found below: Stem-and-leaf plots are a method for showing the frequency with which certain classes of values occur. when you look at the categories above, data comparing houses built after 2001 would best be shown on a pie chart data comparing bathrooms and bedroom in each house would best be shown on a box and whisker plot data comparing door colors would be be portrayed on a bar graph the only other option would be the pieces of mail--usually stem and leaf plots have the stem as tens or hundreds and the leaves are ones or tens. with this having been said, pieces of mail fits that description nicely.

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