LSRL and Computer Output 3. An emergency service wishes to see whether a relationship exists between...

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LSRL and Computer Output 3. An emergency service wishes to see whether a relationship exists between the high outside temperature on a given day and the number of emergency calls it receives. They examine data from 10 randomly selected days last year. The data is as follows: Temperature 74 82 88 No. of Calls 4 8 10 67 8 93 99 11 14 101 78 85 90 13 6 8 10 a) Find the least squares regression line. State the equation below and interpret the slope and y- intercept b) Find and interpret the value of r. c) Create a residual plot on your calculator. What does this plot tell you about a linear model for this data? How do you know? d) Find and interpret the residual for 93. e) What point represents the largest residual? What does that residual mean? LSRL and Computer Output 3. An emergency service wishes to see whether a relationship exists between the high outside temperature on a given day and the number of emergency calls it receives. They examine data from 10 randomly selected days last year. The data is as follows: Temperature 74 82 88 No. of Calls 4 8 10 67 8 93 99 11 14 101 78 85 90 13 6 8 10 a) Find the least squares regression line. State the equation below and interpret the slope and y- intercept b) Find and interpret the value of r. c) Create a residual plot on your calculator. What does this plot tell you about a linear model for this data? How do you know? d) Find and interpret the residual for 93. e) What point represents the largest residual? What does that residual mean?