Question: I need help solving this problem. The objective is to investigate how different health factors influence healthcare utilization using multiple regression analysis. The dataset includes
I need help solving this problem. The objective is to investigate how different health factors influence healthcare utilization using multiple regression analysis. The dataset includes information about doctor visits (timedrs: Number of visits to health professionals), physical health (phyheal: Number of physical health symptoms), mental health (menheal: Number of mental health symptomsand), stress levels (stress: Stressful life events score). From the table below, please Calculate and interpret the correlations between variables in paragraph format and APA guidelines.
Results body { font-family: "Segoe UI",Roboto,Helvetica,Arial,sans-serif,"Segoe UI Emoji","Segoe UI Symbol" ; color: #333333 ; cursor: default ; margin: 24px; font-size: 12px ; } h1 { font-size: 160% ; color: #3E6DA9 ; margin-bottom: 12px ; white-space: nowrap ; } h2 { font-size: 130% ; margin-bottom: 12px ; color: #3E6DA9 ; } h3, h4, h5 { font-size: 110% ; margin-bottom: 12px ; } table { border-spacing: 0 ; page-break-inside: avoid; } table tr td, table tr th { page-break-inside: avoid; font-size: 12px ; } .ql-align-center { text-align: center; } .ql-align-right { text-align: right; } .ql-align-justify { text-align: justify; } .ql-indent-1 { padding-left: 3em; } .ql-indent-2 { padding-left: 6em; } .ql-indent-3 { padding-left: 9em; } .ql-indent-4 { padding-left: 12em; } .ql-indent-5 { padding-left: 15em; } .note { margin: 5px 0px; }
| Descriptives | ||||
|---|---|---|---|---|
| timedrs_zscore | phyheal_zscore | menheal_zscore | stress-zscore | |
| N | 449 | 449 | 449 | 449 |
| Missing | 0 | 0 | 0 | 0 |
| Mean | -3.79e17 | -1.48e16 | -8.78e17 | -2.32e17 |
| Median | -0.348 | -0.374 | -0.248 | -0.192 |
| Standard deviation | 1.00 | 1.000 | 1.00 | 1.000 |
| Minimum | -0.896 | -1.27 | -1.45 | -1.54 |
| Maximum | 4.99 | 3.22 | 2.88 | 3.45 |
| Skewness | 2.15 | 0.843 | 0.621 | 0.780 |
| Std. error skewness | 0.115 | 0.115 | 0.115 | 0.115 |
| Kurtosis | 5.38 | 0.326 | -0.243 | 0.310 |
| Std. error kurtosis | 0.230 | 0.230 | 0.230 | 0.230 |
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
