Construct a scatter plot for the data obtained in the

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Reference no: EM13540089

1. An experiment is carried out to determine the relationship between the average speed (rpm) and power (hp) of a mixer. Construct a scatter plot for the data obtained in the experiment.

Run Average Speed x,   Power y,  

1 325.0 1.10

2 348.9 1.40

3 312.9 1.07

4 230.0 0.25

5 269.2 0.64

6 305.0 0.93

2. A realtor wanted to determine if there was a relationship between the size (in 100 square feet) of a new custom-built home and the price (in thousands of dollars) of the home. Find the equation of the regression line and graph the line on a scatter plot.

Size,   Price,   

26 235

27 273

41 387

29 253

33 295

34 335

36 395

45 475

22 203

3. A study was conducted to determine if there was a linear relationship between a person's age and his/her peak heart rate. Construct a scatter plot and determine what type of relationship there is between a person's age and his/her peak heart rate.

Age x,   Peak Heart Rate y,   

16 220

26 194

32 193

37 178

42 172

53 160

48 174

21 214

4. Draw a scatter plot for the following data that show the demand for a product (in hundreds) and its price (in dollars) charged in nine different cities.

City Price x,   Demand y,   

1 23 17

2 18 48

3 19 41

4 21 38

5 20 33

6 25 17

7 22 35

8 17 52

9 22 24

5. A psychologist wants to determine if there is a linear relationship between the number of hours a person goes without sleep and the number of mistakes he/she makes on a simple test. The following data is recorded. Determine the equation of the regression line and graph the line on a scatter plot.    

Hours without Sleep x,     Number of Mistakes y,   

32 6

38 8

48 13

24 5

46 7

35 6

30 5

34 8

42 12

6. Compute the slope of the regression line for the data below.

X values –3 1 3 7 8

Y values 5 5 –3 4 –2

7. Compute the slope of the regression line for the data below.

X values –4 –1 5

Y values 4 5 –3

8. Compute the standard error of the estimate for the data below.

X values –4 0 5

Y values 3 3 –2

9. Compute the intercept of the regression line for the data below.

X values –4 0 2 9

Y values 4 5 –1 0

Reference no: EM13540089

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