Here is some information about the heights and weights of a random sample of 25 male students at a high school. Here are the scatter plot, the residual plot, a histogram of the residuals, and the regression analysis for the data we collected from them. Use this information to analyze the association between heights and weights. Use a 5% level of significance.

Perform a significance test and state your conclusion in context.

• The population is the 25 male students who were measured- the parameter is the relationship between height and weight for the 25 male students at this school
• The population is male students at this high school- the parameter is the relationship between height and weight for male students at this school

Ho:?

B =

=

p =

Ha:?

B

B >

B <

Choose the conditions which must be met:

• n
• 30
• n30
• or normal population.
• n
• p
• 10
• np10
• Linear Scatterplot
• Randomly Sampled
• n
• (
• 1
• p
• )
• 10
• n(1-p)10
• No pattern in residuals-randomly scattered about the line
• n
• (
• 1
• p
• )
• 10
• n(1-p)10
• Residuals approximately normal
• n
• (
• p
• )
• 10
• n(p)10
• N
• 10
• n
• N10n

• Name the test:1 Prop. Z Test
• Matched Pairs T Test
• 1 Sample T Test
• 2 Prop. Z Test
• Chi Square GOF Test
• Linear Regression T Test
• Chi Square Independence
• 2 Sample T Test

Test Statistict =

The P-value is

• less than alpha
• greater than alpha

• Make a decision:Because our P-value is greater than alpha - we fail to reject the Ho.
• Because our P-Value is less than alpha - we fail to reject the Ho.
• Because our P-value is greater than alpha - we reject the Ho.
• Because our P-value is less than alpha - we reject the Ho.

• State the conclusion:We have enough evidence to say there is an association between height and weight in males at this school
• We do not have enough evidence to say there is an assocaition between height and weight in males at this school