please help answer those questions i am struggling!

QUESTION 1 When testing the overall significance of a degression model with an Etest, if the null hypothesis is rejected, we can code the more og is/are significantly related to the dependent variable y QUESTION 2 The coefficient of determination is the proportion of the total variability in the dependent variable explained by the variables included in the pression model QUESTION 3 The correlation coefficient measures the strength of the linear relationship between the dependent variable and the independent variables QUESTION the same vall of X (independent variable), the confidence interval for the average value of (dependent variable) 's narrower than for the individualava QUESTION 4 For the same value of x'independent variable. the cadence interval for the average value of Ydependent variabilis narrower than prediction Interval for the individual value of y. QUESTIONS After plotting the data points on a scatter diagram, we have observed an inverse relationship between the independent variable on and the dependent variablem. The we can expect both the sample and the sample to be negative values Intercept correlation coefficient intercept slope slope: coefficient of determination slope: correlation coefficient QUESTIONS na simple regression analyse the correlation coefficient (r) and the slope (61) always have the same sign. Question Completion Statue QUESTION 7 The correlation coefficient may assume any value between O and 1 and +1 -and- 1 and QUESTIONS The variance in a regression model is by 5 MSE bo QUESTIONS All of the following are assumptions of the error terms in regression, EXCEPT: Errors are normal distributed tems are dependent on each other Error forms have constant variance Error terms of zero Cowicients Standard For Sw Rave Lower 95% per 901 63,331 intercept Advertising 7.9580 7.948 0.00051 3.999 0.01003 6.667 1.667 33.8143 10.9522 2.1818 QUESTION 12 THE GROCERY STORE CASE Using The Grocery Store regression output report the simple linear regression equation 6.667 "Xadvertising D- 63.331 QUESTION 13 THE GROCERY STORE CASE Interpret in the control the problems the practical meaning of the slope of the least squares regression line pay attention to units of measurement and daily grotere solen 52,0001) and advertising expenditures co fin 51.000)." For ev yadditional 57.968 increase in advertising grocery store sales are expected to increase by about 51,667 Forey additonal 51.000 spent on advertising grocery store sales are expected to decrease by about 56,667 Forey additional $1,000 spent on advertengrocery store sales are expected to increase by about 56,667 For very adentonal51 spent an advertising grocery store sales are expected to increase by about 563 For every additionat 57.968 increase in advertising procery store sales are expected to inced by about 51.687 For every additional $1.000 spent on advertising procery store sales are expected to decay about 56.661 For every additional $1.000 spent on advertising grocery store sales are expected to increase by about 56.667 For every additional S1 spent on advertising grocery store sales are expected to lease by about 563 QUESTION 14 THE GROCERY STORE CASE What is the critical value of the Fstatistic needed to testing the significance of the overall regression model ata-057 Feritical - [Frit) 3.707 QUESTIONS THE GROCETONE CASE Using as there suchent evidence to conclude that advertising expenditure is useful in predicting grocery store sales? From the drop-down, select th calculater statistic then the words that correctly complete(s) the statement Fcaluced - 003 With 95% confidence we can conclude that the advertising expenditure is useful in predicting grocery store sales QUESTION 16 THE GROCERY STORE CASE 76.2% of the total variability in the daily store sales can be explained by advertising expenditures. QUESTION 17 THE GROCERY STORE CASE Which of the following statements correctly reports and practically interprets the true population slope of the least squares regression equation? (pay attention to units of measurement and key words). ... daly grocery store soles 07 on 51.000s) and advertising expenditures co (in 1.000 2.38185B1 $10.9522: with os coronce for very additional $1.000 spent on advertising grocery store sales are expected to increase anywhere from $10.952 42.84833 314 with confidence, one grocery store that spends 51.000 in advertising is expected to have sales between 542.348 and 582,814. 42.848 3:34: with 95% confidence, for every additionat51.000 spent on advertising grocery store sales are expected to increase anywhere fra 583,81 2.381Y1095221 with 95% confidence all grocery stores that spend 51.000 in advertising are expected to have sales between $2.382 and 510,952. confidence one grocery store that spends 51.000 in advertising is expected to have sales between 40343 and 522514 42.3483 583.8141 : with 95m confidence for every additional 51.000 spent on advertising grocery store sales are expected to increase anywhere om $43.3 583.814. 2.318 SY510.9522: with 95 confidence all grocery stores that spend 51.000 in advertising are expected to have sales between 52.382 and $10.952 QUESTION 18 A multiple regression analysis with 20 observations and independent variables would yield 3 numerator and 16 denominator degrees of freedom QUESTION 19 if it is desired to include marital stamperession model by using the categories single married separated divorced and widowed, how many ad dummy" variables will be included to represent marital status? 2 more Independentables will be included 3 more independent elables will be included 5 more independent variables will be included 4 mor dependent vartables will be included QUESTION 1 When testing the overall significance of a degression model with an Etest, if the null hypothesis is rejected, we can code the more og is/are significantly related to the dependent variable y QUESTION 2 The coefficient of determination is the proportion of the total variability in the dependent variable explained by the variables included in the pression model QUESTION 3 The correlation coefficient measures the strength of the linear relationship between the dependent variable and the independent variables QUESTION the same vall of X (independent variable), the confidence interval for the average value of (dependent variable) 's narrower than for the individualava QUESTION 4 For the same value of x'independent variable. the cadence interval for the average value of Ydependent variabilis narrower than prediction Interval for the individual value of y. QUESTIONS After plotting the data points on a scatter diagram, we have observed an inverse relationship between the independent variable on and the dependent variablem. The we can expect both the sample and the sample to be negative values Intercept correlation coefficient intercept slope slope: coefficient of determination slope: correlation coefficient QUESTIONS na simple regression analyse the correlation coefficient (r) and the slope (61) always have the same sign. Question Completion Statue QUESTION 7 The correlation coefficient may assume any value between O and 1 and +1 -and- 1 and QUESTIONS The variance in a regression model is by 5 MSE bo QUESTIONS All of the following are assumptions of the error terms in regression, EXCEPT: Errors are normal distributed tems are dependent on each other Error forms have constant variance Error terms of zero Cowicients Standard For Sw Rave Lower 95% per 901 63,331 intercept Advertising 7.9580 7.948 0.00051 3.999 0.01003 6.667 1.667 33.8143 10.9522 2.1818 QUESTION 12 THE GROCERY STORE CASE Using The Grocery Store regression output report the simple linear regression equation 6.667 "Xadvertising D- 63.331 QUESTION 13 THE GROCERY STORE CASE Interpret in the control the problems the practical meaning of the slope of the least squares regression line pay attention to units of measurement and daily grotere solen 52,0001) and advertising expenditures co fin 51.000)." For ev yadditional 57.968 increase in advertising grocery store sales are expected to increase by about 51,667 Forey additonal 51.000 spent on advertising grocery store sales are expected to decrease by about 56,667 Forey additional $1,000 spent on advertengrocery store sales are expected to increase by about 56,667 For very adentonal51 spent an advertising grocery store sales are expected to increase by about 563 For every additionat 57.968 increase in advertising procery store sales are expected to inced by about 51.687 For every additional $1.000 spent on advertising procery store sales are expected to decay about 56.661 For every additional $1.000 spent on advertising grocery store sales are expected to increase by about 56.667 For every additional S1 spent on advertising grocery store sales are expected to lease by about 563 QUESTION 14 THE GROCERY STORE CASE What is the critical value of the Fstatistic needed to testing the significance of the overall regression model ata-057 Feritical - [Frit) 3.707 QUESTIONS THE GROCETONE CASE Using as there suchent evidence to conclude that advertising expenditure is useful in predicting grocery store sales? From the drop-down, select th calculater statistic then the words that correctly complete(s) the statement Fcaluced - 003 With 95% confidence we can conclude that the advertising expenditure is useful in predicting grocery store sales QUESTION 16 THE GROCERY STORE CASE 76.2% of the total variability in the daily store sales can be explained by advertising expenditures. QUESTION 17 THE GROCERY STORE CASE Which of the following statements correctly reports and practically interprets the true population slope of the least squares regression equation? (pay attention to units of measurement and key words). ... daly grocery store soles 07 on 51.000s) and advertising expenditures co (in 1.000 2.38185B1 $10.9522: with os coronce for very additional $1.000 spent on advertising grocery store sales are expected to increase anywhere from $10.952 42.84833 314 with confidence, one grocery store that spends 51.000 in advertising is expected to have sales between 542.348 and 582,814. 42.848 3:34: with 95% confidence, for every additionat51.000 spent on advertising grocery store sales are expected to increase anywhere fra 583,81 2.381Y1095221 with 95% confidence all grocery stores that spend 51.000 in advertising are expected to have sales between $2.382 and 510,952. confidence one grocery store that spends 51.000 in advertising is expected to have sales between 40343 and 522514 42.3483 583.8141 : with 95m confidence for every additional 51.000 spent on advertising grocery store sales are expected to increase anywhere om $43.3 583.814. 2.318 SY510.9522: with 95 confidence all grocery stores that spend 51.000 in advertising are expected to have sales between 52.382 and $10.952 QUESTION 18 A multiple regression analysis with 20 observations and independent variables would yield 3 numerator and 16 denominator degrees of freedom QUESTION 19 if it is desired to include marital stamperession model by using the categories single married separated divorced and widowed, how many ad dummy" variables will be included to represent marital status? 2 more Independentables will be included 3 more independent elables will be included 5 more independent variables will be included 4 mor dependent vartables will be included