From the given information above,
b) The significance F is very low. Hence we reject the null hypothesis.
there is significant relationship.
c)Yes , This is good fit to the data ll. Because P value is less than level of significance.
d) From given test of hypothesis. BOTH COEFFICIENTS ARE SIGNIFICANT BECAUSE PVALUE IS LESS THAN 0.05.
WE REJECT THE NULL HYPOTHESIS.
THERE IS SUFFICIENT EVIDENCE THAT THE SLOPES ARE SIGNIFICANT
The admissions officer for Clearwater College developed the following estimated regression equation relating the final...
The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y = -1.4053 +.023541 +.004902 where *1 = high-school grade point average 22 = SAT mathematics score y=final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA of SS M S F Significance F...
The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y = -1.4053 +.023501 +.0049.22 where x = high-school grade point average 19 = SAT mathematics score y=final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA 55 MS Significance F Regression 1.7621 Residual...
mework The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. 9--1.4053 +.02352, +.004973 where z = high-school grade point average 22=SAT mathematics score y = final college grade point average Round your answers to 4 decimal places a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA Significance F Regression 1.7621 Residual Total 1.8 P-value...
The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA j--1.4053 .0235xi +.0049x2 where #1-high-school grade point average 2-SAT mathematics score yfinal college grade point average Round your answers to 4 decimal places a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers NOVA df MS Significance F Regression 1.7621 Residual otal 1.8 Coefficients Standard Error t...
eBook The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y=-1.4053+.023541 +.004922 where 21 = high-school grade point average 22 = SAT mathematics score y-final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA df F I Significance F SS LMS 1.7621 Regression...
The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y = -1.4053 +.023501 +.004932 where 21 = high-school grade point average 22 = SAT mathematics score y = final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA of SS M S F...
The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y = -1.4053 +.023571 +.004922 where 21 = high-school grade point average 22 = SAT mathematics score y = final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA SS MS Significance F Regression...
The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y = -1.4053 +.0235x1 +.0049.02 where 21 = high-school grade point average 22 = SAT mathematics score y = final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. a. Complete the missing entries in...
The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y = -1.4053 +.023521 +.004922 where 21 = high-school grade point average *2 = SAT mathematics score y = final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA df SS MS Significance F...
ooOOO.. The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathem tics score and high-school GPA -1.4053 +.02351 +.00492 =high school grade point average 2 SAT mathematics score Grade point average Round your answers to 4 decimal places. a. Complete the misung entries in this Excel Regression tool output Enter negative 8 2 E ANOVA I of SS M S 16 121 TIL 1.7621 TIN TI 1.88 Standard...