A researcher wants to know how the number of drinks consumed on a night out affects decision-making quality. She observes and records the drinking behavior of 5 participants, then has them complete a series of decision-making tasks. Use the following data to answer the next 15 fill-in-the-blanks answering the following question: 1) is the correlation statistically significant at ? 2) Calculate the percent of variability accounted for in Y by X, and 3) define the equation for the line of best fit. Number of Drinks (X) Decision Making Task Performance (Y) 2 7 4 2 1 5 1 6 2 5 State the hypotheses about (rho) Null: Alternative: df: critical t: SSx: SSy: SP: Correlation (r): Standard error of the correlation (): Calculated t-statistic: State your conclusion and make a decision about the null hypothesis and state what it means in the variables of interest: Percent of variance explained (): For the regression line, calculate b: For the regression line, calculate a: Write out the regression line:

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A researcher wants to know how the number of drinks consumed on a night out affects decision-making quality. She observes and records the drinking behavior of 5 participants, then has them complete a series of decision-making tasks.  Use the following data to answer the next 15 fill-in-the-blanks answering the following question: 1) is the correlation statistically significant at ? 2) Calculate the percent of variability accounted for in Y by X, and 3) define the equation for the line of best fit.

Number of Drinks (X) Decision Making Task Performance (Y)
2 7
4 2
1 5
1 6
2 5

 

State the hypotheses about (rho)

Null:

Alternative:

df:

critical t:

SSx:

SSy:

SP:

Correlation (r):

Standard error of the correlation ():

Calculated t-statistic:

State your conclusion and make a decision about the null hypothesis and state what it means in the variables of interest:

 

Percent of variance explained ():  

For the regression line, calculate b:

For the regression line, calculate a

Write out the regression line:

 

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