Consider the Following Partial Computer Output for a Multiple Regression

question 37

Multiple Choice

Consider the following partial computer output for a multiple regression model.
$$\begin{array} { l l l } \text { Predictor } & \text { Coefficient } \left( \mathrm { b } _ { \mathrm { i } } \right) & \text { Standard Dev } \left( \mathrm { s } _ { \mathrm { b } } \right) \\\text { Constant } & 99.3883 & \\\mathrm { X } 1 & - 0.007207 & 0.0031 \\\mathrm { X } 2 & 0.0011336 & 0.00122 \\\mathrm { X } 3 & 0.9324 & 0.373 \\& & \\\text { Analysis of Variance } & & \mathrm { SS } \\\text { Source } & \underline { \text { df } } & 31.308 \\\text { Regression } & 3 & 9.378 \\\text { Error (residual) } & 16 &\end{array}$$
-The calculated value of the t statistic for X₁ is ________.

• A)-3.100
• B)-2.122
• C)-7.207
• D)-2.325
• E)-9.324

Distinguish between different types of random variables and identify experiments as binomial.

Assess the appropriateness of using Poisson distribution for real-world phenomena.

Compute expected values and standard deviations for specific distributions.

Understand the conditions under which a binomial distribution can be used.