Math Problem Statement

The data set includes paired values (x_i, y_i): x_i = {3, 12, 6, 20, 14} and y_i = {55, 40, 55, 10, 15}. Estimate the standard deviation of y-hat when x = 8, develop a 95% confidence interval for the expected value of y when x = 8, estimate the standard deviation of an individual value of y when x = 8, and develop a 95% prediction interval for y when x = 8.

Solution

The image presents a dataset of paired values xix_i and yiy_i, along with a series of statistical problems:

  1. xi={3,12,6,20,14}x_i = \{3, 12, 6, 20, 14\}
  2. yi={55,40,55,10,15}y_i = \{55, 40, 55, 10, 15\}

The tasks include:

a. Estimating the standard deviation of y^\hat{y}^* when x=8x = 8 (to 4 decimal places).

b. Developing a 95% confidence interval for the expected value of yy when x=8x = 8 (to 2 decimals).

c. Estimating the standard deviation of an individual value of yy when x=8x = 8 (to 4 decimal places).

d. Developing a 95% prediction interval for yy when x=8x = 8 (to 2 decimals).

The answers provided in the image were:

  • Part a: 9.79 (incorrect)
  • Part b: (12.97, 75.03) (incorrect)
  • Part c: 13.115 (incorrect)
  • Part d: (7.61, 80.39) (incorrect)

Would you like me to guide you through the calculations for each part and help you find the correct values?

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Math Problem Analysis

Mathematical Concepts

Linear Regression
Confidence Interval
Prediction Interval
Standard Deviation

Formulas

Standard deviation of y-hat: s_ŷ = s * sqrt((1/n) + ((x - x̄)^2 / Σ(x_i - x̄)^2))
Confidence interval formula: ŷ ± t * s_ŷ
Standard deviation of an individual value: s_ind = s * sqrt(1 + (1/n) + ((x - x̄)^2 / Σ(x_i - x̄)^2))
Prediction interval formula: ŷ ± t * s_ind

Theorems

Central Limit Theorem
Linear Regression Estimation
Student's t-distribution

Suitable Grade Level

Undergraduate