Respuesta :
Answer:
Answer: The estimated equation is shown in the scattered plot diagram attached to the answer supplied
Step-by-step explanation:
(a) Attached scattered plot diagram
(b) Estimated regression equation:
Rating = 3.204 + 0.076 EXPER
b1= 3.204,
b2= 0.076
Se(b1)= 0.709
Se(b2) = 0.044
n=2
The coefficient of EXPER =0.076. This implies that the quality rating will increase by 0.076.

The linear regression equation which models the relationship between rating and exper can be expressed thus ; Rating(y) = 0.076EXPR + 3.204
- The Coefficient of EXPR is the value of the slope, hence, the slope is 0.076
- Since the slope value is positive, then it can be interpreted that EXPR increases by 0.076 per unit increase in EXPR.
The estimated regression function is attached below.
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