Question

Compute *r*^{2} for the following data. The sum
of squares of error (SSE) is 70,940. Discuss the value of
*r*^{2} obtained.

**(Round your answer to 3 decimal
places.)**

Advertising |
Sales |

12.5 | 148 |

3.7 | 55 |

21.6 | 338 |

60.0 | 994 |

37.6 | 541 |

6.1 | 89 |

16.8 | 126 |

41.2 | 379 |

*1) r*^{2} =???

2) This is a ??? ( relatively high or modest or relatively low)
value of *r*^{2}.

Answer #1

The statistical software output for this problem is:

Hence,

1. r2 = **0.898**

2) This is a **relatively high** value of r2.

A corporation owns several companies. The strategic planner for
the corporation believes dollars spent on advertising can to some
extent be a predictor of total sales dollars. As an aid in
long-term planning, she gathers the following sales and advertising
information from several of the companies for 2016 ($
millions).
Advertising
Sales
12.5
148
3.7
55
21.6
338
60.0
994
37.6
541
6.1
89
16.8
126
41.2
379
Develop the equation of the simple regression line to predict sales
from...

Compute r2 for the following data. The sum
of squares of error (SSE) is 46.6399. Discuss the value of
r2 obtained.
x
12
21
28
8
20
y
17
15
22
19
24
(Round your answer to 3 decimal
places.)
r2 =
This is a
high,low, or modest
value of r2.

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