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A researcher is studying the factors related to the popularity of new music artists. In particular, she is interested in assessing the extent to which the number of albums sold [thousands] is explained by the number of YouTube views {millions} the artists currently have, their number of Faeebooir. fans [millions]. and the number of weeks they did not make the coveted JJ's Top 50 list in the last 12 months. A random sample of 57 popular new artists was collected [see partial data in the following table). Artist l(millions) (millions) 11:1p3 50 {:00} 1 2 3 on The researcher used software to generate a multiple linear regression output for the data. The results are shown below [some values are missing]. a} Determine the missing values. Report answers acourate to at least 5 decimal places where necessary. Do not round intermediate results. Multiple R R Square Adjusted a! Standard Error Observations Regression H i m 2016.7106 Residual Total Intercept YouTube b} What percent of the variation in the dependen_t variable' is not 5\"explained by the independent variables' 1n th1s model? Round percent to 1 decimal placel ci Use the regression coefficients from the output to estimate the number of albums sold {units} for a new artist with 45 million tbuTube views, having 6,623,734 Faeebook fans, and with exactly 5.4 months off JJ's Top 50 list. Ci} Suppose the regression equation from the output is used to predict the number of albums sold by a new artist to be 49.176. If the artist has 1&3 million YouTube views and has successfully made JJ's Top 50 list 315% of the time in the last 12 months, how many Facebook fans (in thousands} does the artist have? Round to the nearest thousand