Question $1$ What method provides summary statistics of a data frame? summary$()$ head$()$ tail$()$ describe$()$ Status: $[$object Object$]1$ point $2.$ Question $2$ As the Pearson Correlation value nears zero, then $...$ It indicates uncertainty about the correlation between two variables It indicates the mean of the data is near zero It indicates minimal deviation in a variable's values from the mean It indicates that two variables are not correlated Status: $[$object Object$]1$ point $3.$ Question $3$ What range of Pearson Coefficient $$p$$ is considered too high to support any certainty about the correlation of variables? $0\mathrm{.}05<$ p $<0\mathrm{.}1$ p $<0\mathrm{.}0010\mathrm{.}001<$ p $<0\mathrm{.}05$ p $>0\mathrm{.}1$ Status: $[$object Object$]1$ point $4.$ Question $4$ Consider the following data frame: df$\_$test $=$ df$[[\text{'}$body$-$style,$\text{'}$ 'price'$]]$ The following operation is applied: df$\_$grp $=$ df$\_$test.groupby$([\text{'}$body$-$style'$],$ as$\_$index$=$False$).$mean$()$ What are the resulting values of: df$\_$grp$[$price$]?$ It writes the mean value of each body style price to the data frame. The average price It averages the price for each body style It averages the body$-$style variable data values. Status: $[$object Object$]1$ point $5.$ Question $5$ What is the Pearson Correlation between two variables if the input variable is equal to the output variable? $-1$ Between $-1$ and $0$ Between $0$ and $11$ Status: $[$object Object$]1$ point